ABSTRACT
Background
Pre-workout multi-ingredients are designed to enhance energy levels and acutely increase exercise performance. This study compared the effectiveness of ingesting an admixture providing caffeinated ingredients and plant-based protein enriched with amino acids versus carbohydrates alone on body composition, hypertrophy and physical performance.
Methods
Forty-three middle-aged physically active individuals (26 peri- and post-menopausal females and 17 males) completed the study after being randomly assigned to one of the following intervention groups: pre-workout (PREW n = 24, 54 ± 4 years, body mass 77.6 ± 16.0 kg) or a carbohydrate-only comparator (COMP n = 19, 52 ± 4 years, body mass 80.6 ± 16.0 kg). Measurement of fat and fat-free mass (via plethysmography), waist and hip circumferences, muscle thickness (via ultrasound), strength, power output and muscle endurance performance were collected before and after a 6-week resistance training programme performed 3 times per week. Treatment consisted of ingesting 30g of the assigned supplement, mixed with 400mL of plain water, 15min before each workout session.
Results
Both groups significantly (p < 0.05) reduced fat mass (mean ± SD) (PREW −1.4 ± 1.6 kg; COMP −1.0 ± 1.5 kg), increased fat-free mass (PREW +0.9 ± 1.1 kg; COMP + 0.8 ± 0.9 kg); vastus lateralis (PREW +0.2 ± 0.2 cm; COMP + 0.1 ± 0.6 cm), and elbow flexors (PREW +0.5 ± 0.3 cm; COMP + 0.4 ± 0.2 cm) muscle thickness. Only the PREW group showed a significant reduction in the waist circumference (−1.8 ± 1.8 cm, p < 0.01). However, no significant differences between groups (PREW vs. COMP) were identified at post-intervention. Isometric force, countermovement jump, medicine ball throw, and upper and lower body muscle endurance performance improved (p < 0.05) for both treatments, with no difference between groups.
Conclusion
Except for waist circumference reduction, ingesting a pre-workout vegan protein-based caffeinated supplement promotes no further resistance training benefits in middle-aged individuals.
KEYWORDS: Multi-Nutrient, Nutrition, supplementation, caffeine, fat-free mass, fat mass
1. Introduction
Multi-ingredient pre-workout formulations (PREW) represent a wide category of dietary supplements with purported efficacy in enhancing physical performance [1]. Previous interventions demonstrated valuable effects of PREW on exercise outcomes including strength [2], power output [1,3], muscular endurance [4] and gaining muscle mass [5–7]. In this context, caffeine has arisen as the predominant ingredient due to its thermogenic [8] and ergogenic effect on both endurance [1,9,10], and strength [11] performance. For instance, the co-administration of caffeine with yerba mate containing caffeoyl derivatives such as chlorogenic acid, phytosterols, and saponins, promoted fat metabolism [12], increased fatty acid oxidation, and reduced the perception of effort during low-intensity endurance exercise [13].
In addition to caffeinated substances, some commercially available PREW include high-quality proteins, such as whey fortified with amino acids (AA) (e.g. L-leucine, L-arginine, L-tyrosine, or L-taurine) or their derivatives (e.g. citrulline-malate, betaine, or L-carnitine) that may act synergistically with caffeine to enhance muscular efficiency and extend the onset of fatigue [14,15]. For example, L-carnitine is a conditionally essential AA derivative that plays a role in fatty acid metabolism. It may promote vasodilation and improve oxygen supply to the working muscles [16]. L-arginine, a conditionally essential AA in adults, serves as a precursor for creatine, a component of the body’s energy metabolism [17]. L-citrulline is a non-essential and non-proteogenic AA which promotes vasodilation, rate of oxidative ATP production and phosphocreatine recovery after high-intensity exercise [18].
Recent studies have reported beneficial effects of L-citrulline or citrulline-malate supplementation in maximizing strength, power output, and muscle endurance in both recreationally active and trained athletes [19–21]. Furthermore, combining L-arginine and L-citrulline has been proposed as an effective nutritional intervention to promote endogenous synthesis of nitric oxide (NO) which may optimize the removal of metabolic waste products, attenuate fatigue [22], and enhance physical performance [23]. The ingestion of L-tyrosine has been proposed to improve prolonged submaximal exercise in the heat, along with lower perceived exertion [24]. L-taurine supplementation has also been associated with improved muscular endurance [25]. Betaine, a glycine aminoacidic derivative, favors muscle blood flow by elevating the levels of NO and promoting fluid and thermal homeostasis [6,26]. Individually, or in combination, it is therefore feasible that such nutrients may have beneficial effects when consumed within a PREW formula.
Furthermore, carbohydrate (CHO) administration before workouts is widely accepted as a key dietary strategy to ensure the availability of circulating glucose to support limited muscle fuel stores during intense and prolonged steady or intermittent exercise [27–29]. Indeed, PREW including caffeine and CHO have been reported to promote faster intestinal absorption and increased exogenous CHO oxidation rates during exercise [30]. However, divergent conclusions concerning the advantages of PREW supplementation in healthy middle-aged and older adults have also been noted in the literature [31–34]. Currently, there is a paucity of research regarding the use of PREW supplements to maximize exercise training adaptations in middle-aged and older physically active adults [35].
The aim of this study therefore was to compare the effectiveness of combining a 6-week resistance training (RT) programme with a commercially available PREW including caffeinated ingredients and plant-based protein extracts (Crown Sport Nutrition, Spain) vs. an isocaloric, carbohydrate-only supplement comparator (COMP) on body composition, muscle thickness, and physical performance in middle-aged, healthy, physically active individuals. Additionally, considering that females and males may show distinct benefits from physical exercise [36], exhibit differential molecular responses [37], and training-induced adaptations to resistance exercise programmes [38], we also explored differences in the intervention-induced outcomes among female and male participants. Based on the literature, we hypothesized that ingesting PREW over a 6-week RT programme would maximize fat loss, fat-free mass gain, and muscular hypertrophy, along with a more favorable performance enhancement effect than COMP alone.
2. Material and methods
2.1. Experimental design
The intervention followed a double-blinded, randomized, parallel-group controlled trial design. Ethical approval was granted by FREC-EHHS-21–2–23–03. Following the inclusion criteria, familiarization period, and baseline assessments, participants were randomly allocated to receive either a vegan protein-based multi-ingredient supplement (PREW) or an isocaloric, carbohydrate-only comparator (COMP). Primary outcomes were changes in body composition (fat mass, fat-free mass and waist circumference) and muscle thickness from vastus lateralis and elbow flexor. Changes in isometric strength, vertical jump, medicine ball throw, and 30-second continued repetition tests in sit-and-stand and bench press exercises were considered secondary outcomes. Additionally, the 15-to-20-minute post-workout global rating of perceived exertion (S-RPE) from the OMNI-RES (0–10) scale was considered an exploratory variable. All tests were performed at baseline and follow-up at 6 weeks.
2.2. Participants
Forty-four healthy and recreationally active, middle-aged, and older adults (26 peri- and post-menopausal females and 17 males; age: 53 ± 5 years) were initially recruited. The inclusion criteria required participants to have a minimum regular resistance training history of 6 months before the beginning of the study and to be 45 years of age or older. Female participants were additionally required to be post- or peri-menopausal, exhibiting at least two symptoms of menopause onset, such as hot flushes, menstrual cycle alterations, and not menstruating for more than 1 year [39]. Participants were not eligible if suffering from acute illness or chronic diseases (including obesity [BMI ≥30 kg/m2] [40], metabolic syndrome, long COVID-19, osteoporosis, or sarcopenia), following a medication prescription, or consuming supplements or medications that could interfere with our research or affecting exercise performance (i.e. creatine, protein amino-acids, NSAIDs, etc.).
All participants confirmed verbal compliance prior to providing written informed consent. All experimental procedures were conducted in accordance with the Declaration of Helsinki and registered with ClinicalTrials.gov, U.S. National Institutes of Health (Identifier: NCT05769088).
To assess the statistical power of the study, we conducted a sensitivity analysis of the final sample size (PREW, N = 22 and COMP, n = 19) to detect statistically significant differences between conditions in pre-post differences. Assuming a t-test model with two independent samples to compare adjusted means, 0.05 α error probability, and 0.80 power (1 − β), it was determined that differences between conditions could be detected with a Cohen’s d above 0.89.
2.3. Procedures
After inclusion and before the baseline assessment, participants performed eight sessions of familiarization on alternate days, aimed at minimizing any potential learning effects of the training procedures. Following the initial assessment, participants were matched by body mass and isometric strength. Assignment of participants to treatments was performed by block randomization using a block size of two and in a double-blind (PREW or COMP) manner.
All pre- and post-intervention assessments were conducted in a single session conducted the week before and separately after the 6-week intervention period, at approximately the same time of the day and under the same conditions (i.e. the morning before the first training session, after an overnight fast). Participants were required to refrain from any hard exercise sessions 48 hours before the assessments. Furthermore, participants abstained from consuming food or beverages for 3 hours before the assessment sessions and from ingesting energy sources within 2 hours before the workouts. The pre-and post-intervention evaluation encompassed the following components in the specified order: (i) body composition, (ii) muscle thickness, and (iii) physical performance.
2.3.1. Assessments
2.3.1.1. Body composition
Body mass (BM) and height were assessed according to the methods described by Ross et al. [41]. Height was measured in a stretched standing position to the nearest 0.01 m using a wall-mounted stadiometer (Seca GmbH, Hamburg, Germany), and BM was corrected to the nearest 0.01 kg using a digital scale (Seca GmbH, Hamburg, Germany). Whole body densitometry using air displacement via the Bod Pod (Life Measurements, Concord, CA) was used in accordance with the manufacturer’s instructions for the assessment of body composition measures as detailed elsewhere (e.g. avoid strenuous exercise for at least 24 hours, no eating or drinking for at least 2 hours prior to the assessment) [42].
2.3.1.1.1. Waist and hip circumferences
The circumferences of the waist and hip were assessed using a stretch-resistant measuring tape and following the methodologies described by Stewart et al. [43]. Subsequently, the waist-to-hip ratio was calculated by dividing the waist circumference by the hip circumference. To minimize inter-rater variability and ensure measurement consistency, a single trained researcher performed all assessments.
2.3.2. Muscle thickness
Muscular thickness changes under relaxed and static conditions were evaluated using a real-time B-mode ultrasound imaging system (Philips Affiniti 70 Ultrasound, Philips Corporation, USA). At each marked site, an 18–5 MHz broadband linear-array transducer, along with water-soluble transmission gel (Aquasonic 100 Ultrasound Transmission gel), was positioned perpendicular to the skin surface and parallel to the longitudinal axis of the muscle, providing acoustic coupling during the test without depressing the dermal surface [44]. Following the methodology outlined by Bradley and O’Donnell [45], as described by Naclerio et al. [46], the same qualified and skilled researcher conducted all measurements using a standardized protocol. Muscle thickness of the elbow flexors (EF) and the vastus lateralis (VL) were assessed in the dominant limbs. Muscle thickness was determined as the distance between the superficial and deep muscle aponeuroses for the VL, or between the superficial aponeurosis of the muscle and the muscle-bone boundary for the EF. Figure 1 illustrates examples of ultrasonography images depicting measurement sites for muscle architecture in EF and VL.
Figure 1.

Sagittal ultrasound images of elbow flexors’ (a) and vastus lateralis (b) muscle thickness.
To measure the thickness of the EF, participants were seated on a chair, with their torso straight and relaxed against the backrest. The assessed arm was maintained in a relaxed position at a 90° angle at the elbow joint on a bed, with the forearm in a relaxed pronated position. For VL thickness, participants were placed barefoot in a semi-recumbent and relaxed position on a bed set at 125°, with fully extended and relaxed knees and arms resting alongside the body. The EF assessment site was accurately located and marked at 80% of the distance between the coracoid process of the scapula and the medial epicondyle of the humerus. The VL assessment point was marked at 60% of the distance between the greater trochanter and the lateral condyle of the femur. To eliminate tissue distortion caused by excessive compression, the transducer was lightly rested on the skin surface, the ultrasound image on the screen was visually monitored, and participants were asked to provide verbal feedback on the pressure experienced on the skin. Three images were obtained at each location, and the median of the measurements was calculated and used for the analysis. To ensure accurate replication of the measurement location, the position of the probe was recorded on acetate paper, and pre- and post-intervention images were compared based on identifiable markings (such as moles and small angiomas) on the skin surface as reference points. This process increased the reliability of repeated measures. To prevent osmotic fluid shifts that could distort measurements of angle and thickness [47], images were acquired at least 48 hours after the last training session and prior to the physical performance tests. Intra-rater reliability of muscle thickness measurements was assessed by a single trained researcher, who performed measurements on the same scan, demonstrating >0.90 intraclass correlation coefficient (ICC).
2.3.3. Isometric mid-thigh pull test
A T.K.K. 5402 dynamometer (Takei Scientific Instruments Co. Ltd., Niigata, Japan) with a base of 31.5 X 31.5 cm, equipped with a chain (51 cm), and a latissimus pulldown bar (120 cm; Perform Better, United Kingdom), was used to evaluate full-body maximal isometric force (MIF) [48]. Participants started in a standing position, on the foot grips, adjusting the chain length to position the bar slightly above their knees and gripped the bar without using straps. Before pulling, they were instructed to maintain tension on the chain to avoid jerking movements. Subsequently, participants exerted maximum force while pulling upwards [49]. Three attempts of 5 seconds with a 30-second rest between each attempt were performed. The highest recorded value in kg of force (kgF) was selected for further analysis. Additionally, >0.90 ICC was observed for this outcome.
2.3.4. Vertical jump
A countermovement jump (CMJ) was executed following the methodology described by Brown and Weir [50]. To eliminate the influence of arm-swing on the final result, participants were required to maintain their hands on their hips throughout the jumping action [51]. A Kistler force platform (9287B, three-component force platform; Kistler, Hook, United Kingdom; dimensions: 900 × 600 × 100 mm) with a sampling rate of 2000 hz was used to calculate the jump height in centimeters (cm). The height was determined as the difference between the maximum height of the center of mass (apex) and the last contact of the toe on the ground during the take-off. Based on the height, the best of three jumps was chosen for the analysis. The ICC was superior to 0.90.
2.3.5. Chest medicine ball throw (CMBT)
Participants were seated on a chair placed against a wall with the feet flat on the floor and positioned shoulder-width apart. Following the methodology defined by Harris et al. [52], participants performed a chest throw with a medicine ball (5 kg for males and 3 kg for females). Based on the distance achieved, the best of three attempts was chosen for the analysis. A range from 0.97–0.99 ICC has been observed for this test in recreationally trained adults [53].
2.3.6. 30-seconds bench press (BP) and squat (SQ)
The BP exercise was performed using free weights with an individually tailored load to approximate sixteen maximum repetitions. Participants were instructed to perform all possible repetitions in 30 seconds. They commenced the exercise in a supine position on a flat bench, with their elbows fully extended, and were instructed to lower the barbell toward the chest before engaging in the concentric phase.
The squat (SQ) exercise was performed with no external overload. Participants began seated on an individually adjusted bench, so that the posterior thighs were parallel to the ground, back straight, feet positioned parallel at shoulder width apart, and toes angled slightly outwards. Arms were crossed at the wrists and held against the chest. The participants were instructed to stand up and sit as many times as possible in 30 seconds.
For both exercises, the total number of completed repetitions was considered for the analysis. One qualified instructor monitored the appropriate execution of both BP (arms’ range of motion and bar path from the chest to the end position with elbows completely extended) and SQ (ensuring the back was straight, avoiding additional impulse from the arms and thighs, and returning to parallel position at the end of the descent phase). The ICC was higher than 0.90 for both tests.
2.4. Training and control of the intervention compliance
Training sessions were conducted on alternate days (i.e. Monday, Wednesday, and Friday). Each participant engaged in a supervised full-body resistance-training protocol, which included a standardized warm-up of about 12 minutes followed by three circuits of one set of the following exercises: (i) box step-ups (ii) bench press, (iii) sit-and-stand from the box, (iv) bent-over row, (v) deadlift, (vi) alternate lunges, (vii) shoulder press, and (viii) leg extension. Approximately 30-sec rest between exercises and 3 minutes between circuits were allowed. The aim of the workout was to induce a high level of mechanical and metabolic stress, focusing on muscle endurance training with a target of 16 self-determined [54] maximum repetitions per set [55]. When participants were able to perform more than 16 repetitions per set, the load was slightly increased between 2.5 to 5 kg. If fewer than 16 repetitions were completed, a rest period of approximately 10 seconds was allowed until the participants were able to reach the targeted number of repetitions per set. The duration of the workouts was 49 ± 8 minutes. Furthermore, the S-RPE was measured after 15 to 20 min of having completed each workout session. The participants rated their global perception of effort on the OMNI-RES scale [56] by answering the question “How hard was your entire workout?” [57].
2.5. Supplementation protocol
The two products were presented in analogous white sachets of citric-flavored powder to be dissolved in ~400 mL of room-temperature plain water and dispensed in identical 500-mL black and opaque bottle shakers. The diluted isoenergetic drinks were similar in appearance, texture, and taste. Both supplements were ingested on training days, within 15 minutes before each workout session. No supplement was consumed during non-exercising days. The nutritional composition of each product is presented in Table 1.
Table 1.
Nutritional composition of supplements per intake mixed with ~400 mL of plain water.
| Description | Multi-Ingredient (30 g dose) |
Comparator (30 g dose) |
|---|---|---|
| Energy value (kcal) | 60 | 60 |
| Macronutrients | ||
| Total carbohydrates from maltodextrin (g) | 5 g | 15 g |
| Fats | 0 g | – |
| Total proteins included added amino acids (g) | 9 g | – |
| Amino acids and other ingredients | ||
| L-Leucine (g) | 3 | – |
| L-Isoleucine (g) | 1.5 | – |
| L-Valine (g) | 1.5 | – |
| L-Lysine (g) | 2.7 | – |
| L-Arginine Base (g) | 2.5 | – |
| L-Methionine (g) | 0.7 | – |
| L-Phenylalanine (g) | 1.1 | – |
| Taurine (g) | 1 | – |
| L-Threonine (g) | 1.2 | – |
| L-Tryptophan (g) | 0.3 | – |
| Tyrosine (g) | 1 | – |
| Citrulline Malate | 2.5 | – |
| Betaine (HCl) | 2 | – |
| Acetyl-L-Carnitine | 1.3 | – |
| Caffeine (mg) | 406 | – |
| Yerba Mate (2% in Caffeine) | 300 | – |
2.6. Dietary monitoring
Each participant’s baseline diet (3 days, 2 weekdays, and 1 weekend day) was analyzed using MyFitnessPal Inc.© (Version 2022, Texas, US) smartphone application [58]. Participants were instructed to maintain their normal diet throughout the intervention. They were asked to report any minimal change regarding food composition and size, ingestion of supplements or compliance with the reported meals, including breakfast, lunch, pre- and post-workout food intake, and dinner. If any change had been detected (i.e. becoming vegetarian, restricting calories, fasting, taking additional nutritional supplements, etc.), that participant’s data would have been excluded from the analysis. To evaluate differences caused by the supplementation protocol, the diet was analyzed again during the last week of the intervention.
3. Statistical analysis
A descriptive analysis was performed and subsequently the Shapiro – Francia tests were applied to assess normality. Sample characteristics at baseline were compared between groups using an independent means Student’s T-test. All pre- and post-intervention data were summarized and reported as mean ± standard deviation unless stated otherwise. Raw changes in all outcome variables were calculated by subtracting pre- from post-assessment values. Under the assumption that both treatment groups would promote changes from baseline values due to the common training intervention and that the amount of change would also be dependent on each participant’s baseline performance levels, one-way analysis of covariance (ANCOVA) models were used to compare differences in raw change between groups, using the pre-assessment values as covariates. A one-sample t-test of the pre-to-post differences in each outcome variable was performed for each treatment condition. To assess the magnitude of the differences from the baseline outcome, confidence intervals (CIs) of the differences were calculated and plotted. Confidence intervals not crossing zero were considered statistically significant. Eta squared (η2) and Cohen’s d standardized effect sizes of the adjusted differences between intervention groups were calculated from the ANCOVA F tests and compared to common benchmarks [59] (small η2 = 0.01, d = 0.2; moderate η2 = 0.06, d = 0.5; and large η2 = 0.14, d = 0.8). The significance level was set to p0.05. Results are reported as mean ± standard deviation unless stated otherwise. All statistics were performed using the Statistical Package for the Social Sciences (SPSS for Windows, version 28.0.1.1 Inc., Chicago, IL, USA).
4. Results
As summarized in Figure 2, forty-one of the initially recruited 44 participants completed all aspects of the study (Figure 2). Groups characteristics were equivalent at baseline: PREW [n = 22, 13 females (59%) and 9 males]: age 54 ± 4 years, height 1.72 ± 0.10 m, body mass 77.6 ± 16.0 kg, isometric strength 128 ± 49 kg; COMP [n = 19, 11 females (58%) and 8 males]: age 52 ± 4 years, height 1.72 ± 0.10 m, body mass 80.6 ± 16.0 kg, isometric strength 126 ± 33 kg.
Figure 2.

Participants CONSORT flow diagram.
Table 2 shows the dietary monitoring results, determined before and after the intervention.
Table 2.
Descriptive analysis of the participants’ diet composition.
| Macronutrients | PREW pre (n = 22) | PREW post (n = 22) | COMP pre (n = 19) | COMP post (n = 19) |
|---|---|---|---|---|
| Proteins | ||||
| g·d−1 | 88.5 ± 29.3 | 87.5 ± 28.9 | 88.7 ± 28.3 | 89.5 ± 29 |
| g·kg−1·d−1 | 1.14 ± 0.3 | 1.13 ± 0.3 | 1.1 ± 0.3 | 1.11 ± 0.3 |
| % of total energy | 15.9 ± 3.9 | 15.6 ± 3.6 | 14.5 ± 3.2 | 14.8 ± 3.3 |
| Carbohydrates | ||||
| g·d−1 | 247 ± 78.6 | 255.42 ± 79 | 249.9 ± 78.1 | 244.4 ± 77.8 |
| g·kg−1·d−1 | 3.2 ± 1.4 | 3.3 ± 1.6 | 3.1 ± 1.3 | 3 ± 1.2 |
| % of total energy | 44.3 ± 11.8 | 45.5 ± 12 | 40.7 ± 11.6 | 40.3 ± 11.5 |
| Fats | ||||
| g·d−1 | 98.7 ± 29.7 | 97.1 ± 29.4 | 122.1 ± 32.3 | 120.9 ± 31.8 |
| g·kg−1·d−1 | 1.3 ± 0.4 | 1.3 ± 0.5 | 1.5 ± 0.7 | 1.5 ± 0.7 |
| % of total energy | 39.8 ± 10.4 | 38.9 ± 10.1 | 44.8 ± 11.1 | 44.9 ± 11 |
| Energy | ||||
| Total daily energy | 2231 ± 479 | 2246 ± 467 | 2453 ± 489 | 2426 ± 477 |
| Kcal·kg−1·d−1 | 28.8 ± 5.9 | 29 ± 5.7 | 30.4 ± 6.2 | 30.1 ± 6 |
Values are presented as mean ± standard deviation.
No differences between groups were either found at baseline or as a result of the nutritional intervention for energy, carbohydrates, protein and fat intake. No complaints about any negative symptoms (i.e. hypoglycemic reaction) or gastric discomfort due to the ingestion of supplements were reported.
Table 3 describes the mean and standard deviation values along with the observed absolute changes [95% CI] in body composition (BM, waist circumference, hip circumference, waist-to-hip ratio, fat mass and fat-free mass), muscle thickness (EF and VL), and performance (CMJ, seated chest medicine ball throw, midthigh pull isometric strength and 30-s sit to stand and bench press muscular endurance tests) for each of the intervention groups. No significant differences were observed at pre-intervention in any of the analyzed dependent variables.
Table 3.
Mean (M) ± standard deviation (SD) of the pre- and post-values and changes M±SD [95% CI] of the analyzed variables for the two intervention groups.
| Variable | Multi-Ingredient (n = 24) |
Comparator (n = 19) |
Between-Groups Comparisons |
|||||
|---|---|---|---|---|---|---|---|---|
| Pre | Post | Changes [95% CI] | Pre | Post | Changes [95% CI] | p value | ES | |
| Body Mass (kg) | 77.6 ± 16 | 77.4 ± 15 | −0.25 ± 1.6 [−0.98,0.49] | 80.6 ± 16 | 80.6 ± 16 | 0.08 ± 1.8 [−0.78,0.90] | 0.38 | −0.285 |
| Waist Circumference (cm) | 85 ± 10.9 | 83.2 ± 10.5 | −1.8 ± 1.8 [−2.65,-0.94]** | 88 ± 13.7 | 87.3 ± 12.8 | −1.16 ± 2.5 [−1.68,0.27] | 0.10 | −0.546 |
| Hip Circumference (cm) | 101.2 ± 6.7 | 100.3 ± 6.9 | −0.81 ± 2.4 [−1.94,0.31] | 105 ± 8.9 | 104.1 ± 9.2 | −0.61 ± 2.9 [−2.19,0.37] | 0.70 | −0.130 |
| Waist-to-hip ratio | 0.84 ± 0.08 | 0.83 ± 0.08 | −0.01 ± 0.02 [−0.02, 0.01]** | 0.84 ± 0.12 | 0.84 ± 0.11 | −0.005 ± 0.03 [−0.01,0.01] | 0.38 | −0.278 |
| Fat Mass (%) | 31.5 ± 9.3 | 30.1 ± 9 | −1.41 ± 1.6 [−2.09,-0.74]** | 34.5 ± 9.2 | 33.5 ± 9 | −1.01 ± 1.5 [−1.78,-0.25]* | 0.20 | −0.419 |
| Fat Mass (kg) | 24.4 ± 8.2 | 23.2 ± 7.7 | −1.15 ± 1.5 [−1.82,-0.47]** | 28.4 ± 11.2 | 27.5 ± 11 | −0.88 ± 1.6 [−1.66,-0.12]* | 0.30 | −0.343 |
| Fat-Free Mass (%) | 68.5 ± 9.3 | 69.9 ± 9 | 1.41 ± 1.6 [0.74,2.09]** | 65.5 ± 9.2 | 66.5 ± 9 | 1.01 ± 1.5 [0.25,1.78]* | 0.20 | 0.419 |
| Fat-Free Mass (kg) | 53.2 ± 13.5 | 54.1 ± 13.2 | 0.91 ± 1.1 [0.48,1.34]** | 53.5 ± 9.6 | 54.2 ± 9.5 | 0.76 ± 0.9 [0.25,1.23]** | 0.67 | 0.113 |
| Vastus Lateralis Muscle Thickness (cm) | 2.64 ± 0.5 | 2.8 ± 0.5 | 0.16 ± 0.2 [0.05,0.27]** | 2.65 ± 0.3 | 2.78 ± 0.4 | 0.13 ± 0.6 [0.04,0.21]* | 0.75 | 0.099 |
| Elbow Flexors Muscle Thickness (cm) | 3.6 ± 0.8 | 4.1 ± 0.8 | 0.51 ± 0.3 [0.39,0.63]** | 3.6 ± 0.7 | 4.1 ± 0.7 | 0.42 ± 0.2 [0.2,0.56]** | 0.58 | 0.176 |
| CMJ (cm) | 25.5 ± 6 | 26.8 ± 6 | 1.33 ± 1.7 [0.70,1.95]** | 24.3 ± 5 | 25.3 ± 5 | 0.98 ± 1.8 [0.14,1.29]* | 0.29 | 0.342 |
| Seated Chest Medicine Ball Throw (m) | 3.49 ± 0.6 | 3.67 ± 0.6 | 0.18 ± 0.16 [0.11,0.26]** | 3.61 ± 0.4 | 3.71 ± 0.4 | 0.1 ± 0.2 [0.02,0.19]* | 0.21 | 0.401 |
| Maximal Isometric Mid-Thigh Pull (kg) | 128.2 ± 49 | 137.8 ± 46 | 55 ± 24 [−14.83,124.83] | 126 ± 33 | 129.9 ± 30 | 2.47 ± 12 [−76.97,81.91] | 0.33 | 0.313 |
| 30-s Sit-to-Stand Repetitions (n) | 24.3 ± 5 | 27.3 ± 5 | 3 ± 2.1 [1.8,4.2]** | 24.7 ± 6 | 27.8 ± 5 | 3.1 ± 2.3 [1.8,4.4]** | 0.79 | 0.084 |
| 30-s Bench Press Repetitions (n) | 23.2 ± 5.1 | 27.8 ± 5.1 | 4.6 ± 2.1 [3.61,5.58]** | 25.7 ± 4.2 | 29.8 ± 3.5 | 4.1 ± 2.4 [3.05,5.16]** | 0.98 | 0.008 |
| Total Volume Lifted (kg) | 9222 ± 2733 | 13303 ± 3784 | 4082 ± 1928 [3273,4890]** | 9677 ± 2280 | 13496 ± 3849 | 3669 ± 2079 [2749,4589]** | 0.42 | 0.173 |
*p ≤0.05, **p ≤0.01, tp ≤0.10 respect to baseline levels; ES is the standardized effect size presented as Cohen’s d.
Even though both groups showed a significant reduction of body fat (percentage and absolute [kg])) along with a concomitant increase of fat-free mass (percentage and absolute [kg]) a significant reduction of the waist circumference and waist-to-hip ratio was observed only for the PREW group. However, no further difference between treatments was identified when the adjusted values were analyzed post-intervention (Figure 3).
Figure 3.

Estimated marginal means and 95% confidence intervals of adjusted changes in waist circumference. Analysis of covariance (ANCOVA) model was used to compare differences in raw change between groups, using the pre-assessment values as covariates. **p < 0.01; from the baseline values. PREW=Preworkout, COMP= comparator (only carbohydrate) treatment.
A non-significant trend effect was observed for FM in kg (F(1,39) = 2.79, p = 0.104, η2 = 0.065) and percentage (F(1,39) = 3.723, p = 0.061, η2 = 0.086) values. Additionally, no significant between-groups difference emerged upon adjustment for pre-intervention values for FM in kg (p = 0.302, d = −0.343) and percentage (p = 0.201, d = −0.42) values.
While no significant absolute FFM change was evident when adjusted from baseline values (p = 0.48), a significant increase from pre- to post-intervention in VL thickness was observed (F (1,39) = 6.52, p = 0.015, η2 = 0.132). Remarkably, both supplement protocols yielded similar hypertrophy outcomes (p = 0.754). Similarly, a significant difference of larger magnitude was observed from pre- to post-values for EF muscle thickness (F (1,39) = 21.25, p < 0.001, η2 = 0.288). However, no significant differences were noted between conditions (p = 0.578).
Both the PREW and COMP groups demonstrated significant absolute and adjusted increases in CMJ (F (1,39) = 6.48, p < 0.015, η2 = 0.128). However, no significant difference emerged between conditions when values were adjusted for baseline results (p = 0.287), despite the PREW group showing larger CMJ increases (1.55 vs 0.99 cm). Similarly, CMBT exhibited a trend toward a significant increase from pre- to post-values (F (1,39) = 3.07, p < 0.088, η2 = 0.066). Nonetheless, no significant difference between conditions was observed (p = 0.212, d = 0.4), although PREW yielded a larger increase than COMP (18.9 vs. 12.0 cm, respectively).
Both the 30-second sit-to-stand and 30-second bench press tests significantly improved under both conditions from pre- to post-intervention results (F (1,39) = 8.92, p = 0.005, η2 = 0.194, and F (1,39) = 6.33, p = 0.016, η2 = 0.143, respectively). However, no significant difference was observed between groups when the average mean difference adjusted by pre-values was considered.
The total volume (kg) lifted during workouts increased significantly under both conditions (p < 0.001) with no differences (p > 0.05) between groups.
4.1. Exploratory variables
The average S-RPE scores did not reveal any statistically significant disparities between groups (PREW: 7.79 ± 0.50 vs. COMP: 7.94 ± 0.60). Additionally, no effect of sex (all p > 0.05) was observed for any of the analyzed variables.
5. Discussion
Results of the present study suggest that ingesting a pre-workout caffeinated vegan protein-based multi-ingredient providing 12 g of EAA, and 406 mg of caffeine promoted similar body composition and performance outcomes to an isoenergetic carbohydrate-only supplement in middle-aged physically active female and male adults. The waist circumference was the only variable showing a significant reduction in the PREW group (Figure 3). Based on these findings, and within the limitations of our study procedures, except for the observed reduction of waist circumference, we must reject our hypothesis asserting that compared to a carbohydrate-only isocaloric comparator, a caffeinated protein-based PREW might further stimulate fat loss and optimize more favorable body composition and performance outcomes.
No significant energy or macronutrient consumption changes were observed from pre- to post-intervention for any group (Table 3). Both groups ingested an acceptable amount and distribution range of macronutrients across the study [60,61]. Therefore, there were no limitations due to insufficient energy, protein, carbohydrate and fat for any of the groups.
The multi-ingredient admixture used in our study included 406 mg of anhydrous caffeine (4.9 ± 2 mg·kg−1) and 300 mg of yerba mate extract with 2% of caffeine (~6 mg of caffeine) (~0.01 mg·kg−1). Thus, the resulting mean relative dose of caffeine per intake was ~4.9 mg·kg−1, which was within the range of recommended moderate doses (3 to 6 mg∙kg−1) related to ergogenic effects for resistance training [62]. Nonetheless, it is worth noticing that the non-interaction effects between the PREW and COMP at post-intervention agree with previous investigations reporting no performance benefits from the pre-workout ingestion of 3 mg·kg−1 of caffeine in habitual caffeine consumers [63].
Previous acute studies conducted in middle-aged adults reported beneficial effects of caffeinated PREW containing protein and fortified with amino acids to maximize resistance training outcomes [15]. Similar to the current study, the participants ingested a PREW providing ~5.2 mg∙kg−1 of caffeine, 0.21 g∙kg−1 of carbohydrates with a high proportion of isomaltulose (a slow-release disaccharide), and 0.12 g∙kg−1 of protein along with citrulline-malate, L-leucine, L-tyrosine, L-taurine, and betaine. The proposed attenuation of effects due to habitual caffeine intake could have been the cause of discrepancies between the current 6-week intervention study and acute trial designs. Even though regular caffeine consumption does not diminish acute performance benefits on muscular function [64], the scientific consensus on its ergogenic effects remains divided, particularly concerning long-term adaptations, and individual and genetic variability in caffeine metabolism [65]. In our study, both groups significantly improved CMJ, CMBT, and both lower and upper body muscle endurance tests with no significant difference between them (Table 3). These results are supported by the meta-analysis by [66], suggesting that the long-term ergogenic effects of caffeine supplementation, particularly for upper body (e.g. medicine ball throw), may not significantly differ from placebo.
The variability in responses to caffeine supplementation across different studies highlights the complexity of its ergogenic properties. While acute caffeine intake has been shown to enhance performance in specific contexts, the translation of these benefits to long-term training adaptations remains uncertain [67]. Our research supports the notion that, over a 6-week RT regimen, PREW supplementation including caffeine does not confer additional advantages to enhance muscle function and promote body composition outcomes beyond those achieved through regular training alone. Indeed, for middle-aged recreationally trained adults, performing a regular resistance exercise programme seems to be the most important aspect impacting the observed training adaptations [68]. Along those lines, unlike previous studies reporting a significant effect of pre-workout supplementation to reduce the perceptual response to endurance [13], and strength [69] exercise bouts, we did not identify differences in the global perceptual response between groups, even during the initial workout sessions.
Our study is not without limitations. Firstly, although diet composition was registered with a self-reported food diary and analyzed with a validated application (MyFitnessPal Inc.©), providing a prepared and prepacked diet to participants during the intervention would have offered an ideal scenario to standardize and control the influence of diet on the observed results. Secondly, most of the participants had a daily caffeine intake of 3–5 coffees or teas (100–300 mg of caffeine), which could have impacted the observed results. However, because our study was designed as a highly ecological intervention, avoiding diet modifications, the participants were asked to maintain their usual caffeine intake (avoiding caffeine or energetic intake 3 hours pre- and 2 hours post-workout during training days) so that the impact of integrating PREW supplement to the habitual nutritional habits could be assessed. Although there are concerns regarding the variability of individual responses to different protocols of caffeine ingestion, including form of administration (e.g. coffee, capsules, etc.) and timing [70], it is worth highlighting that the participants in our study ingested the PREW supplement 15 minutes before performing a ~ 65-minute workout (including the 12-minute warm-up). Caffeine is rapidly absorbed by the body when consumed in coffee, powders, or capsules, appearing in the blood within 5–15 minutes and peaking between 40 and 80 minutes post-ingestion [71]. Considering this, the window for observing caffeine’s ergogenic effects in the context of the current study covered the beginning of the workout and likely peaked during the latter half of the session, when physical fatigue was more pronounced, and performance began to decline. Thirdly, considering that the most prominent resistance training adaptations and nutritional support benefits are likely to occur in the most heavily utilized muscle groups [72], the low training volume (only one exercise) directly impacting the elbow flexors may have limited the observed adaptations on this muscular group. Lastly, we aimed to include peri- and post-menopausal women but no additional blood tests were performed aside from the symptoms questionnaire [73], which might potentially influence the results between early peri-menopausal and post-menopausal women. Future longer investigations using larger sample sizes are needed to comprehensively understand the long-term effects of combining pre-workout supplementation with resistance training in middle-aged female and male individuals.
6. Conclusion
Despite observing a significant reduction in waist circumference for the PREW treatment group, compared to the ingestion of only carbohydrates, a pre-workout vegan protein-based caffeinated admixture did not maximize body composition and performance outcomes in middle-aged individuals engaged in a resistance training programme over 6 weeks.
Acknowledgments
The authors thank the participants for their time and e ort to complete the assessments and training protocol. Special acknowledge to Kelly Cooper, for their valuable cooperation and support during the data collection.
Funding Statement
GO-Fit, Crown Sport Nutrition and The University of Greenwich provided joint funding to the completion of this project; however, this does not affect this original research content and purpose.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Author contributions
F.N. and J.P.-F. contributed to the design of the work, literature search, acquisition, analysis, and interpretation of the data and drafting the manuscript. E.L.-Z. contributed to the conception and design of the work, JR revised the methodology, contributed to the conception and design of the work. All authors revised the manuscript critically for important intellectual content and gave final approval of the final version. All authors have read and agreed to the published version of the manuscript
References
- 1.Jagim AR, Jones MT, Wright GA, et al. The acute effects of multi-ingredient pre-workout ingestion on strength performance, lower body power, and anaerobic capacity. J Int Soc Sports Nutr. 2016;13(1):11. doi: 10.1186/s12970-016-0122-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Beyer KS, Gadsden M, Patterson-Zuber P, et al. A single dose multi-ingredient pre-workout supplement enhances upper body resistance exercise performance. Front Nutr. 2024;11:1323408. doi: 10.3389/fnut.2024.1323408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Panayi S, Galbraith A.. Acute ingestion of a commercially available pre-workout supplement improves anaerobic power output and reduces muscular fatigue. Int J Exerc Sci. 2022;15(6):455–19. PMCID: PMC9022706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cameron M, Camic CL, Doberstein S, et al. The acute effects of a multi-ingredient pre-workout supplement on resting energy expenditure and exercise performance in recreationally active females. J Int Soc Sports Nutr. 2018;15(1):1. doi: 10.1186/s12970-017-0206-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cabre HE, Gordon AN, Patterson ND, et al. Evaluation of pre-workout and recovery formulations on body composition and performance after a 6-week high-intensity training program. Front Nutr. 2022;9(9):1016310. doi: 10.3389/fnut.2022.1016310 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Harty PS, Zabriskie HA, Erickson JL, et al. Multi-ingredient pre-workout supplements, safety implications, and performance outcomes: a brief review. J Int Soc Sports Nutr. 2018;15(1). doi: 10.1186/s12970-018-0247-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Smith AE, Fukuda DH, Kendall KL, et al. The effects of a pre-workout supplement containing caffeine, creatine, and amino acids during three weeks of high-intensity exercise on aerobic and anaerobic performance. J Int Soc Sports Nutr. 2010;7(1):10. doi: 10.1186/1550-2783-7-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Astrup A, Toubro S, Cannon S, et al. Caffeine: a double-blind, placebo-controlled study of its thermogenic, metabolic, and cardiovascular effects in healthy volunteers. Am J Clin Nutr. 1990;51(5):759–767. doi: 10.1093/ajcn/51.5.759 [DOI] [PubMed] [Google Scholar]
- 9.Harty PS, Zabriskie HA, Stecker RA, et al. Caffeine timing improves lower-body muscular performance: a randomized trial. Front Nutr. 2020;7:585900. doi: 10.3389/fnut.2020.585900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Outlaw JJ, Smith-Ryan AE, Buckley AL, et al. Effects of β-alanine on body composition and performance measures in collegiate women. J Strength Cond Res. 2016;30(9):2627–2637. doi: 10.1519/JSC.0000000000000665 [DOI] [PubMed] [Google Scholar]
- 11.Quesnele JJ, Laframboise MA, Wong JJ, et al. The effects of beta-alanine supplementation on performance: a systematic review of the literature. Int J Sport Nutr Exerc Metab. 2014;24(1):14–27. doi: 10.1123/ijsnem.2013-0007 [DOI] [PubMed] [Google Scholar]
- 12.Alkhatib A. Yerba Maté (Illex Paraguariensis) ingestion augments fat oxidation and energy expenditure during exercise at various submaximal intensities. Nutr Metab (Lond). 2014;11(1):42–47. doi: 10.1186/1743-7075-11-42 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Alkhatib A, Seijo M, Larumbe E, et al. Acute effectiveness of a “fat-loss” product on substrate utilization, perception of hunger, mood state and rate of perceived exertion at rest and during exercise. J Int Soc Sports Nutr. 2015;12(1). doi: 10.1186/s12970-015-0105-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Giannesini B, Le Fur Y, Cozzone PJ, et al. Citrulline malate supplementation increases muscle efficiency in rat skeletal muscle. Eur J Pharmacol. 2011;667(1–3):100–104. doi: 10.1016/j.ejphar.2011.05.068 [DOI] [PubMed] [Google Scholar]
- 15.Puente-Fernández J, Seijo M, Larumbe-Zabala E, et al. Effects of multi-ingredient preworkout supplementation across a five-day resistance and endurance training microcycle in middle-aged adults. Nutrients. 2020;12(12):3778. doi: 10.3390/nu12123778 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Flanagan JL, Simmons PA, Vehige J, et al. Role of carnitine in disease. Nutr Metab (lond). 2010;7(1):1–14. doi: 10.1186/1743-7075-7-30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Tapiero H, Mathé G, Couvreur P, et al. I. Arginine. Biomed Pharmacother. 2002;56(9):439–445. doi: 10.1016/S0753-3322(02)00284-6 [DOI] [PubMed] [Google Scholar]
- 18.Bendahan D, Mattei JP, Ghattas B, et al. Citrulline/Malate promotes aerobic energy production in human exercising muscle. Br J Sports Med. 2002;36(4):282–289. doi: 10.1136/bjsm.36.4.282 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gonzalez AM, Trexler ET. Effects of citrulline supplementation on exercise performance in humans: a review of the current literature. J Strength Cond Res. 2020;34(5):1480–1495. doi: 10.1519/JSC.0000000000003426 [DOI] [PubMed] [Google Scholar]
- 20.Trexler ET, Persky AM, Ryan ED, et al. Acute effects of citrulline supplementation on high-intensity strength and power performance: a systematic review and meta-analysis. Sports Med. 2019;49(5):707–718. doi: 10.1007/s40279-019-01091-z [DOI] [PubMed] [Google Scholar]
- 21.Vårvik FT, Bjørnsen T, Gonzalez AM. Acute effect of citrulline malate on repetition performance during strength training: a systematic review and meta-analysis. Int J Sport Nutr Exerc Metab. 2021;31(4):350–358. doi: 10.1123/ijsnem.2020-0295 [DOI] [PubMed] [Google Scholar]
- 22.Park HY, Kim SW, Seo J, et al. Dietary arginine and citrulline supplements for cardiovascular Health and athletic performance: a narrative review. Nutrients. 2023;15(5):1268. doi: 10.3390/nu15051268 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Nyawose S, Naidoo R, Naumovski N, et al. The effects of consuming amino acids L-Arginine, L-Citrulline (and their combination) as a beverage or powder, on athletic and physical performance: a systematic review. Beverages. 2022;8(3):48. doi: 10.3390/beverages8030048 [DOI] [Google Scholar]
- 24.Tumilty L, Davison G, Beckmann M, et al. Oral tyrosine supplementation improves exercise capacity in the heat. Eur J Appl Physiol. 2011;111(12):2941–2950. doi: 10.1007/s00421-011-1921-4 [DOI] [PubMed] [Google Scholar]
- 25.De Luca A, Pierno S, Camerino DC. Taurine: the appeal of a safe amino acid for skeletal muscle disorders. J Transl Med. 2015;13(1):1–18. doi: 10.1186/s12967-015-0610-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hoffman JR, Ratamess NA, Kang J, et al. Effect of betaine supplementation on power performance and fatigue. J Int Soc Sports Nutr. 2009;6(1). doi: 10.1186/1550-2783-6-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Burke LM. Nutritional approaches to counter performance constraints in high-level sports competition. Exp Physiol. 2021;106(12):2304–2323. doi: 10.1113/EP088188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Karelis AD, Smith JEW, Passe DH, et al. Carbohydrate administration and exercise performance: what are the potential mechanisms involved? Sports Med. 2010;40(9):747–763. doi: 10.2165/11533080-000000000-00000 [DOI] [PubMed] [Google Scholar]
- 29.Malone JJ, Hulton AT, MacLaren DPM. Exogenous carbohydrate and regulation of muscle carbohydrate utilisation during exercise. Eur J Appl Physiol. 2021;121(5):1255–1269. doi: 10.1007/s00421-021-04609-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Baur DA, Saunders MJ. Carbohydrate supplementation: a critical review of recent innovations. Eur J Appl Physiol. 2021;121(1):23–66. doi: 10.1007/s00421-020-04534-y [DOI] [PubMed] [Google Scholar]
- 31.Beckner ME, Pihoker AA, Darnell ME, et al. Effects of multi-ingredient preworkout supplements on physical performance, cognitive performance, mood state, and hormone concentrations in recreationally active men and women. J Strength Cond Res. 2022;36(9):2493–2501. doi: 10.1519/JSC.0000000000003660 [DOI] [PubMed] [Google Scholar]
- 32.Nabuco HCG, Tomeleri CM, Sugihara P, et al. Effects of whey protein supplementation pre- or post-resistance training on muscle mass, muscular strength, and functional capacity in pre-conditioned older women: a randomized clinical trial. Nutrients. 2018;10(5):563. doi: 10.3390/nu10050563 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Sugihara P, Ribeiro AS, Nabuco HCG, et al. Effects of whey protein supplementation associated with resistance training on muscular strength, hypertrophy, and muscle quality in preconditioned older women. Int J Sport Nutr Exerc Metab. 2018;28(5):528–535. doi: 10.1123/ijsnem.2017-0253 [DOI] [PubMed] [Google Scholar]
- 34.Schwarz NA, McKinley-Barnard SK. Acute oral ingestion of a multi-ingredient preworkout supplement increases exercise performance and alters postexercise hormone responses: a randomized crossover, double-blinded, placebo-controlled trial. J Diet Suppl. 2020;17(2):211–226. doi: 10.1080/19390211.2018.1498963 [DOI] [PubMed] [Google Scholar]
- 35.Giráldez-Costas V, Del Coso J, Mañas A, et al. The long way to establish the ergogenic effect of caffeine on strength performance: an overview review. Nutrients. 2023;15(5):1178. doi: 10.3390/nu15051178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ji H, Gulati M, Huang TY, et al. Sex differences in association of physical activity with all-cause and cardiovascular mortality. J Am Coll Cardiol. 2024;83(8):783. doi: 10.1016/j.jacc.2023.12.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.O’Bryan SM, Connor KR, Drummer DJ, et al. Considerations for sex-cognizant research in exercise biology and medicine. Front Sports Act Living. 2022;4:903992. doi: 10.3389/fspor.2022.903992 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Jones MD, Wewege MA, Hackett DA, et al. Sex differences in adaptations in muscle strength and size following resistance training in older adults: a systematic review and meta-analysis. Sports Med. 2021;51(3):503–517. doi: 10.1007/s40279-020-01388-4 [DOI] [PubMed] [Google Scholar]
- 39.NICE . Menopause: identification and management. London: National Institute for Health and Care Excellence (NICE); 2014. [PubMed] [Google Scholar]
- 40.Haase CL, Eriksen KT, Lopes S, et al. Body mass index and risk of obesity-related conditions in a cohort of 2.9 million people: evidence from a UK primary care database. Obes Sci Pract. 2021;7(2):137–147. doi: 10.1002/osp4.474 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ross WM, Marfell-Jones M , et al. Kinanthropometry. In: MacDougall JD, Wenger HA, Green HJ, editors. Physiological Testing of the High-Performance Athlete. 2nd ed. Champaign, IL: Human Kinetics; 1991. p. 223–308. [Google Scholar]
- 42.Dempster P, Aitkens S. A new air displacement method for the determination of human body composition. Med Sci Sports Exerc. 1995;27(12):1692–1697. doi: 10.1249/00005768-199512000-00017 [DOI] [PubMed] [Google Scholar]
- 43.Stewart A, Marfell-Jones M, Olds T, et al. International standards for anthropometric assessment. Potchestroom. ISAK. International society for the advancement of Kinanthropometry. 3rd ed. New Zealand: Lower Hutt; 2011. [Google Scholar]
- 44.Naclerio F, Seijo M, Karsten B, et al. Effectiveness of combining microcurrent with resistance training in trained males. Eur J Appl Physiol. 2019;119(11–12):2641–2653. doi: 10.1007/s00421-019-04243-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Bradley M, O’Donnell P. Atlas of musculoskeletal ultrasound anatomy. Br J Radiol Oxford Academic. 2004. [Google Scholar]
- 46.Naclerio F, Larumbe-Zabala E, Larrosa M, et al. Intake of animal protein blend plus carbohydrate improves body composition with no impact on performance in endurance athletes. Int J Sport Nutr Exerc Metab. 2019;29(5):474–480. doi: 10.1123/ijsnem.2018-0359 [DOI] [PubMed] [Google Scholar]
- 47.Stasinaki AN, Zaras N, Methenitis S, et al. Triceps brachii muscle strength and architectural adaptations with resistance training exercises at short or long fascicle length. J Funct Morphology Kines. 2018;3(2):28. doi: 10.3390/jfmk3020028 [DOI] [Google Scholar]
- 48.Till K, Morris R, Stokes K, et al. Validity of an isometric midthigh pull dynamometer in male youth athletes. J Strength Cond Res. 2018;32(2):490–493. doi: 10.1519/JSC.0000000000002324 [DOI] [PubMed] [Google Scholar]
- 49.Haff GG, Carlock JM, Hartman MJ, et al. Force-time curve characteristics of dynamic and isometric muscle actions of elite women olympic weightlifters. J Strength Cond Res. 2005;19(4):741–748. doi: 10.1519/00124278-200511000-00004 [DOI] [PubMed] [Google Scholar]
- 50.Brown L, Weir J. ASEP procedures recommendation I: accurate assessment of muscular strength and power. J Exerc Physiol Online. 2001;4:1–21. [Google Scholar]
- 51.Harman EA, Rosenstein MT, Frykman PN, et al. The effects of arms and countermovement on vertical jumping. Med Sci Sports Exerc. 1990;22(6):825–833. doi: 10.1249/00005768-199012000-00015 [DOI] [PubMed] [Google Scholar]
- 52.Harris C, Wattles AP, Debeliso M, et al. The seated medicine ball throw as a test of upper body power in older adults. J Strength Cond Res. 2011;25(8):2344–2348. doi: 10.1519/JSC.0b013e3181ecd27b [DOI] [PubMed] [Google Scholar]
- 53.Beckham G, Lish S, Keebler L, et al. The reliability of the seated medicine ball throw for distance. J Phys Activity Res. 2019;4(2):131–136. doi: 10.12691/jpar-4-2-9 [DOI] [Google Scholar]
- 54.Steele J, Fisher J, Giessing J, et al. Clarity in reporting terminology and definitions of set endpoints in resistance training. Muscle Nerve. 2017;56(3):368–374. doi: 10.1002/mus.25557 [DOI] [PubMed] [Google Scholar]
- 55.American College of Sports Medicine . Progression models in resistance training for healthy adults. Med Sci Sports Exerc. 2009;41(3):687–708. doi: 10.1249/MSS.0b013e3181915670 [DOI] [PubMed] [Google Scholar]
- 56.Robertson RJ, Goss FL, Rutkowski J, et al. Concurrent validation of the OMNI perceived exertion scale for resistance exercise. Med Sci Sports Exerc. 2003;35(2):333–341. doi: 10.1249/01.MSS.0000048831.15016.2A [DOI] [PubMed] [Google Scholar]
- 57.Lodo L, Moreira A, Zavanela PM, et al. Is there a relationship between the total volume of load lifted in bench press exercise and the rating of perceived exertion? J Sports Med Phys Fitness. 2012;52(5):483–488. PMID: 22976734. [PubMed] [Google Scholar]
- 58.Evenepoel C, Clevers E, Deroover L, et al. Accuracy of nutrient calculations using the consumer-focused online app: validation study. J Med Internet Res. 2020;22(10):e18237. doi: 10.2196/18237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Cohen J. Statistical power analysis for the behavioral Sciences. 2nd ed. (New York): Routledge; 1988. doi: 10.4324/9780203771587 [DOI] [Google Scholar]
- 60.Seidelmann SB, Claggett B, Cheng S, et al. Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis. Lancet Publ Health. 2018;3(9):e419–428. doi: 10.1016/S2468-2667(18)30135-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Thomas DT, Erdman KA, Burke LM. American college of sports medicine joint position statement. Nutrition and athletic performance. Med Sci Sports Exerc. 2016;48(3):543–568. doi: 10.1249/MSS.0000000000000852 [DOI] [PubMed] [Google Scholar]
- 62.Pickering C, Grgic J. Caffeine and exercise: what next? Sports Med. 2019;49(7):1007–1030. doi: 10.1007/s40279-019-01101-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Filip-Stachnik A, Krzysztofik M, Del Coso, et al. The effect of acute caffeine intake on resistance training volume, prooxidant-antioxidant balance and muscle damage markers following a session of full-body resistance exercise in resistance-trained men habituated to caffeine. J Sports Sci Med. 2023;22(3):436–446. doi: 10.52082/jssm.2023.436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Carvalho A, Marticorena FM, Grecco BH, et al. Can I have my coffee and drink it? A systematic review and meta-analysis to determine whether habitual caffeine consumption affects the ergogenic effect of caffeine. Sports Med. 2022;52(9):2209–2220. doi: 10.1007/s40279-022-01685-0 [DOI] [PubMed] [Google Scholar]
- 65.Virgili J, Motitis P, Julal G, et al. The impact of genetic variability on the relationship between caffeine and cardiometabolic outcomes: a systematic review. Nutr Bull. 2023;48(1):28–42. doi: 10.1111/nbu.12606 [DOI] [PubMed] [Google Scholar]
- 66.Grgic J, Varovic D. Ergogenic effects of caffeine on ballistic (throwing) performance: a meta-analytical review. Nutrients. 2022;14(19):4155. doi: 10.3390/nu14194155 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Valenzuela PL, Morales JS, Emanuele E, et al. Supplements with purported effects on muscle mass and strength. Eur J Nutr. 2019;58(8):2983–3008. doi: 10.1007/s00394-018-1882-z [DOI] [PubMed] [Google Scholar]
- 68.Choi MK, Kim H, Bae J. Does the combination of resistance training and a nutritional intervention have a synergic effect on muscle mass, strength, and physical function in older adults? A systematic review and meta-analysis. BMC Geriatr. 2021;21(1):1–16. doi: 10.1186/s12877-021-02491-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Grgic J, Mikulic P. Caffeine ingestion acutely enhances muscular strength and power but not muscular endurance in resistance-trained men. Eur J Sport Sci. 2017;17(8):1029–1036. doi: 10.1080/17461391.2017.1330362 [DOI] [PubMed] [Google Scholar]
- 70.Wickham KA, Spriet LL. Administration of caffeine in alternate forms. Sports Med. 2018;48(Suppl1):79–91. doi: 10.1007/s40279-017-0848-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Guest NS, VanDusseldorp TA, Nelson MT, et al. International society of sports nutrition position stand: caffeine and exercise performance. J Int Soc Sports Nutr. 2021;18(1). doi: 10.1186/s12970-020-00383-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Bernárdez-Vázquez R, Raya-González J, Castillo D, et al. Resistance training variables for optimization of muscle hypertrophy: an umbrella review. Front Sports Act Living. 2022;4:949021. doi: 10.3389/fspor.2022.949021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Heinemann LAJ, Potthoff P. International versions of the menopause rating scale (MRS). Health Qual Life Outcomes. 2003;1(1):1–4. doi: 10.1186/1477-7525-1-28 [DOI] [PMC free article] [PubMed] [Google Scholar]
