Skeletal Muscle Adaptive Responses to Different Types of Short-Term Exercise Training and Detraining in Middle-Age Men : Medicine & Science in Sports & Exercise

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Skeletal Muscle Adaptive Responses to Different Types of Short-Term Exercise Training and Detraining in Middle-Age Men

CALLAHAN, MARCUS J.; PARR, EVELYN B.; SNIJDERS, TIM; CONCEIÇÃO, MIGUEL S.; RADFORD, BRIDGET E.; TIMMINS, RYAN G.; DEVLIN, BROOKE L.; HAWLEY, JOHN A.; CAMERA, DONNY M.

Author Information
Medicine & Science in Sports & Exercise 53(10):p 2023-2036, October 2021. | DOI: 10.1249/MSS.0000000000002684

Abstract

Introduction 

Whether short-term, single-mode exercise training can improve physical fitness before a period of reduced physical activity (e.g., postsurgery recovery) is not well characterized in clinical populations or middle-age adults. We investigated skeletal muscle adaptive responses after endurance exercise training (ENT), high-intensity interval training (HIIT), or resistance exercise training (RET), and a subsequent period of detraining, in sedentary, middle-age men.

Methods 

Thirty-five sedentary men (39 ± 3 yr) were randomized to parallel groups and undertook 6 wk of either ENT (n = 12), HIIT (n = 12), or RET (n = 11) followed by 2.5 wk of detraining. Skeletal muscle fiber characteristics, body composition, muscle thickness, muscle strength, aerobic capacity, resting energy expenditure, and glucose homeostasis were assessed at baseline, and after exercise training and detraining.

Results 

Lean mass increased after RET and HIIT (+3.2% ± 1.6% and +1.6% ± 2.1%, P < 0.05). Muscle strength (sum of leg press, leg extension, and bench press one-repetition maximums) increased after all training interventions (RET, +25% ± 5%; HIIT, +10% ± 5%; ENT, +7% ± 7%; P < 0.05). Aerobic capacity increased only after HIIT and ENT (+14% ± 7% and +11% ± 11%, P < 0.05). Type I and II muscle fiber size increased for all groups after training (main effect of time, P < 0.05). After a period of detraining, the gains in lean mass and maximal muscle strength were maintained in the RET and HIIT groups, but maximal aerobic capacity declined below posttraining levels in HIIT and ENT (P < 0.05).

Conclusions 

Six weeks of HIIT induced widespread adaptations before detraining in middle-age men. Exercise training–induced increases in aerobic capacity declined during 2.5 wk of detraining, but gains in lean mass and muscle strength were maintained.

Exercise training enhances physical fitness (muscle strength and aerobic capacity) resulting in marked improvements in metabolic health and functional capacity (1). As such, intense exercise training before a period of forced or planned inactivity (i.e., injury or postsurgery) is a common practice as a strategy to augment preoperative physical fitness and postoperative recovery (2–4). Preoperative exercise training prescription is based on general exercise training guidelines emphasizing combined endurance and resistance exercise training (5). However, whether implementation of both exercise modalities reflects optimal programming for all preoperative settings is questionable (6,7).

Although combined exercise training can induce robust changes in muscle strength and aerobic capacity over extended time periods (≥12 wk) (8), many individuals have to undergo surgery at short notice and do not have time to undertake such exercise training regimens (4). As such, it is important to determine the short-term, mode-specific effects of exercise training on multiple components of physical fitness. Defining short-term muscle adaption responses to different exercise training modalities in healthy middle-age adults is important to provide evidence-based guidelines for short-term preoperative exercise training programming.

Six weeks of aerobic-based exercise training increases aerobic capacity (9–12). However, the short-term effects of such training interventions on muscle strength are less clear. Another important aspect of physical fitness is skeletal muscle mass, which is necessary for mobility and whole-body glycemic control (13,14). Individuals with low muscle mass before surgery are at increased risk of adverse postoperative outcomes such as major surgery–related complications, prolonged hospital length of stay, morbidity, and mortality (15–18). However, comparisons between short-term exercise training modalities on markers of whole-body and regional muscle mass in middle-age adults are lacking.

Another knowledge gap regarding muscle adaptation responses are the effects of short-term exercise training cessation (i.e., detraining) subsequent to divergent exercise training modalities. Detraining is the partial or complete loss of exercise training–induced adaptations due to a reduction or cessation in exercise frequency, intensity, or duration (19). In the early postoperative period (i.e., the first few weeks after surgery), exercise training may not be feasible because of pain, nausea, or physical restrictions (20). As little as 2 wk of reduced physical activity can induce catabolic events in skeletal muscle, resulting in decreased muscle mass (21,22) and impaired glycemic control (23). Whether short-term exercise training adaptations are maintained after a short detraining period in middle-age adults is unknown. Ultimately, clarification of short-term single-mode exercise training and detraining responses in healthy middle-age adults will help to inform preoperative exercise training programming, particularly for populations tasked with time constraints before surgery.

In the current study, we tested the hypothesis that 6 wk of endurance, resistance, or high-intensity interval exercise training would induce divergent anabolic and metabolic skeletal muscle adaptive responses in middle-age men. Among the anabolic responses, we assessed vastus lateralis muscle fiber cross-sectional area (CSA) after exercise training and detraining. Here, we hypothesized that high-intensity interval training (HIIT), because of its closer resemblance in contractile intensity/activity with resistance exercise training, would induce a greater increase in muscle fiber CSA compared with endurance exercise training, although this increase would be less in magnitude compared with resistance exercise training.

METHODS

Participants and Ethics Approval

Thirty-nine men (age, 39 ± 3 yr; body mass, 94 ± 13 kg; body mass index (BMI), 29 ± 3 kg·m−2) who were not meeting current national physical activity guidelines (24) for the 6 months before recruitment volunteered to participate in this study. Because 4 participants withdrew from the study, a total of 35 participants completed the protocol and were included for analysis (Fig. 1). All participants completed the Exercise & Sports Science Australia Adult Pre-exercise Screening Tool to identify individuals who may be at a risk of an adverse event while exercising, in which case clearance to participate was sought from a medical practitioner before participation. Exclusion criteria included the following: BMI <25 or >35 kg·m−2, smoking, type 2 diabetes mellitus, regular use of nonsteroidal anti-inflammatory medication, scheduling conflicts prohibiting morning exercise session attendance, and previous injuries exacerbated by exercise. Written and informed consent was obtained from all participants included in the study. The study was approved by the Australian Catholic University Human Research Ethics Committee (No. 2017-104H), prospectively registered online (ACTRN12617000894392; 19/06/2017), and conducted in accordance with the most recent revisions of the Declaration of Helsinki. The study was undertaken at the exercise physiology laboratories at the Australian Catholic University’s St Patrick’s campus (Fitzroy, Victoria, Australia).

F1
FIGURE 1:
Participant recruitment flow.

Study Design and Overview

The study was conducted in a parallel groups design. Participants reported to the laboratory on 10 occasions for study measures and a further 18 occasions for supervised exercise training sessions (Fig. 2). Allocation to one of the three exercise training groups was based on enrolment date after completion of all preliminary testing (Pre) using randomized stratification (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322). During the 6 wk of exercise training, participants performed three sessions per week in the morning on alternate days (e.g., Monday, Wednesday, and Friday) of either cycling endurance exercise training (ENT), cycling HIIT, or whole-body resistance exercise training (RET). Dietary recommendations were implemented by prescribing each participant with an energy intake (kJ·d−1) range (resting energy expenditure (REE) × physical activity factor of 1.5) (25) and protein (~1.4 g·kg body weight (BW)−1·d−1) intake target. A study nutritionist monitored adherence to the study dietary prescription via face-to-face diet consultations every fortnight for the entire study, daily electronic dietary recordings, and weekly reminders. After 6 wk of exercise training, all measurements were repeated (Post). Thereafter, participants were instructed to refrain from exercise training and maintain their activities of daily living for 2.5 wk, after which all measurements were repeated for the final time (detraining; DT).

F2
FIGURE 2:
Study design. Overview of when measurements were taken throughout the study. Exercise training intensities were adjusted where necessary at week 4. All measurements were obtained under resting conditions except for the postexercise training muscle biopsy collected ~48 h after the final exercise training session (end of week 6). Postexercise training testing (Post) took place across study weeks 6 and 7 and postdetraining testing (DT) across study weeks 9 and 10.

Initially, participants reported to the laboratory in an overnight fasted state between 0630 and 0730 h where a dual-energy x-ray absorptiometry scan (GE Lunar iDXA Pro, enCORE software version 16; General Electric, Boston, MA) was conducted (26) to assess lean (total and regional) and fat mass (coefficient of variation (CV) of repeat measures on densitometer, <1.5%). A standard (75 g, 300 mL) 2-h oral glucose tolerance test (OGTT), with 30-min sampling, was conducted to exclude those participants who may have had type 2 diabetes mellitus (fasting plasma glucose ≥7.0 mmol·L−1 or 2-h plasma glucose ≥11.1 mmol·L−1). At this time, a 3-d diet recall was performed. The study diet requirements (described subsequently) were explained and participants were provided a standardized meal (45% carbohydrate, 25% protein, and 30% fat; 33% of total daily energy intake (~3700–4300 kJ) based on the Cunningham equation [27]) for consumption the evening before a muscle biopsy. Participants were instructed to record their habitual diet for the entire preliminary testing period (~14 d) using a smartphone application (EasyDietDiary (iOS) or MyFitnessPal (Android)). A physical activity monitor (activPAL3 tri-axial accelerometer; PAL-technologies Ltd., Glasgow, Scotland) was worn on the thigh to track habitual physical activity for all of the preliminary testing period, 1 wk of exercise training (i.e., week 4) and all of the detraining period. The physical activity monitor was changed weekly. AcitvPAL-derived daily step count and proportions of time spent sitting, standing, stepping, and cycling were estimated by exporting data files from the associated proprietary software (PAL Software Suite Version 8.10; PAL-technologies Ltd.).

Participants reported to the laboratory in an overnight fasted state (~10 h) between 0630 and 0730 h and underwent measures to estimate REE (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322). Immediately after the REE measures, a resting percutaneous muscle biopsy from the vastus lateralis (~100–200 mg) was obtained, under local anesthesia (2–3 mL of 1% xylocaine) using a Bergström needle modified for manual suction. One to two pieces of the muscle tissue sample (~30–40 mg per piece) were mounted on a water-soluble compound (Tissue-Tek Optimal Cutting Temperature; Sakura Finetek, AJ Alphen aan den Rijn, the Netherlands), frozen in liquid nitrogen–cooled isopentane, and stored at −80°C until analysis. The remaining sample was also frozen in liquid nitrogen and stored at −80°C until analysis.

Approximately 48 h after a muscle biopsy, the left and right vastus lateralis were scanned by two-dimensional B-mode ultrasound (frequency, 12 MHz; depth, 8 cm; field of view, 14 × 47 mm; GE Healthcare Vivid-/, Wauwatosa, WI) to determine muscle thickness (MT) from ultrasound images taken along the longitudinal axis of the muscle belly (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322). After the muscle ultrasound, participants performed a progressive incremental cycling exercise test on a stationary ergometer (Lode; Excalibur Sport, Groningen, the Netherlands) to determine peak oxygen uptake (V˙O2peak) and maximal aerobic power (MAP; Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322). The MAP achieved at V˙O2peak was used to determine exercise training intensities (W) for ENT and HIIT.

Approximately 24–48 h after the V˙O2peak test, maximal upper and lower body muscle strength was assessed via a battery of one-repetition maximum (1RM) tests including bilateral leg press (45° incline), bilateral knee extension, and bench press. A series of sets (3–5, 2–8 repetitions) at increasing submaximal weights were lifted until the participant reported an RPE of ~16 using Borg’s CR6–20 scale. Each 1RM attempt was followed by 5 min of rest. The 1RM for each exercise was determined in isolation (i.e., exercises were not alternated). A maximum of five 1RM attempts were allowed per exercise. The 1RM achieved for each exercise was used to determine RET intensities (%1RM). After 1RM testing, participants met with the study nutritionist where daily energy (kJ) and protein (g·kg BW−1) intake targets were prescribed for the remainder of the study.

Approximately 48 h after the final exercise training session (i.e., the end of week 6), participants reported to the laboratory in an overnight fasted state (~10 h) for postexercise training testing (Post) in which a body composition scan and vastus lateralis muscle biopsy were performed as described previously. After ~48 h, two-dimensional ultrasound images of the left and right vastus lateralis were obtained followed by V˙O2peak testing. Subsequently (~24–48 h later), 1RM testing was performed. Completion of 1RM strength testing marked the commencement of the detraining period. Two and a half weeks later, postdetraining testing (DT) commenced where measurements were collected in the same order as per Post testing.

Exercise Training Protocols

All groups performed three morning exercise sessions per week for 6 wk. Progressive overload was applied to all exercise training protocols. The primary aim of the HIIT and ENT protocols was to increase aerobic capacity, whereas the overarching goal of the RET protocol was to increase skeletal muscle mass and strength. Participants in HIIT and ENT groups wore a heart rate monitor (Polar H2, Polar, Australia) during each exercise session, and RPE was obtained at regular intervals (i.e., at the conclusion of a work period) using Borg’s CR6–20 scale. At the beginning of week 4, participants in the HIIT and ENT groups performed a V˙O2peak test without breath analysis to reassess MAP. At the same time point, individuals in the RET group performed 1RM testing to reassess muscle strength. Based on results from week 4 exercise testing, training intensities were adjusted accordingly.

Endurance Exercise Training

A 3-min warm-up (100 W) preceded each training session on a stationary cycle ergometer. Total exercise session duration varied between 30 and 52 min, comprising 5- to 8-min work periods at 50%–75% peak power output with 1 min of active rest at 50 W. A 3-min cool-down at 50 W followed the final rest period. The duration and intensity of work periods increased throughout the exercise training program (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322).

High-Intensity Interval Training

A 3-min warm-up at (100 W) preceded each training session on a stationary cycle ergometer. Total exercise session duration varied between 13 and 23 min, comprising 30- to 60-s work periods at 90%–130% peak power output with 1 min of recovery at 50 W. The number of repetitions varied from 8 to 15 depending on the work period duration for that session. A 3-min cool-down at 50 W followed the final rest period. The duration and intensity of work periods increased throughout the exercise training program (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322).

Resistance Exercise Training

The RET protocol included upper and lower BW-bearing exercise using pulley machines and free weights. At the first session, all lower body exercise movements (45° incline bilateral leg press, bilateral knee extension, dumbbell stationary lunge, and dumbbell step ups) were introduced. At session 2, all upper body exercise movements were introduced (bench press, seated dumbbell overhead press, incline dumbbell chest press, latissimus dorsi pull-down, and pulley seated row). After the two familiarization sessions, training on Mondays and Fridays comprised predominantly lower body exercise movements, whereas Wednesday sessions predominantly comprised upper body exercise movements. A 3-min warm-up (50 W) on a cycle ergometer preceded each RET session. Two warm-up sets (9–12 reps) were performed for either the lower (Monday and Friday: leg press, 35% and 55% of 1RM) or upper body (Wednesday: bench press, 30% and 50% of 1RM) depending on the day of the week. Sets ranged from 3 to 4 and repetitions from 9 to 12 at 60%–80% 1RM. Three minutes of rest was standardized between sets for all exercise movements. Friday sessions from weeks 2 to 6 were performed to failure for all sets whereby the weight was increased at the next set (lower body exercise movements, 5–10 kg; upper body exercise movements, 2.5–5 kg) if the participant successfully completed more than 11 repetitions at the prescribed weight. A 3-min cool-down at 50 W on a cycle ergometer concluded each RET session (Document, Supplemental Digital Content 1, Appendix, https://links.lww.com/MSS/C322, for full details).

Dietary Intervention and Analysis

For the both the exercise training and detraining periods, participants were prescribed a protein intake of ~1.4 (upper limit of 1.6) g·kg BW−1·d−1 deemed optimal for stimulating positive muscle protein turnover in exercising adults (28), predominantly from foods already consumed as part of their habitual diet. A 40-g serve of whey protein powder supplement (Whey Protein Concentrate; Bulk Nutrients, Tasmania, Australia) providing ~30 g of protein was consumed by all participants immediately after exercise to optimize postexercise muscle reconditioning and increase overall protein intake. In addition, participants were provided with five high-protein yoghurt snacks (~14 g protein per 170-g serve; Chobani Australia Pty Ltd, Victoria, Australia) per week to encourage increased protein intake between main meals. Participants were also encouraged to avoid eating energy-dense discretionary foods (e.g., confectionary, prepackaged meals) and to consume no more than two standard drinks of alcohol in one sitting during the exercise training and detraining periods. Dietary intake was monitored weekly by obtaining electronic diet records from participants using either the EasyDietDiary™ or MyFitnessPal™ smartphone application. All dietary intake data were analyzed using FoodWorks 8© (Xyris Software Pty Ltd, Brisbane, Australia) for daily averages of energy (kJ·d−1), protein, carbohydrate, and fat (g·kg BW−1 for all macronutrients) for the duration of exercise training and detraining periods.

Biochemical and Histochemical Analyses

Immunohistochemistry

A cryostat (Leica CM1850; Leica Biosystems, Victoria, Australia) was used to obtain serial muscle cross sections (7 μm), which were fixed to specimen slides (SuperFrost Plus; ThermoFisher Scientific, Victoria, Australia), dried at room temperature for 30–60 min, and stored at −80°C until analysis. Slides were fixed in 2% formaldehyde (4% formaldehyde solution; Merck & Co, Darmstadt, Germany) for 10 min and washed in phosphate-buffered solution (PBS) for 5 min. The PBS was removed and washed in PBS with Tween (PBST) for 5 min. The PBST was removed, and the muscle sections were blocked in a solution containing 2% bovine serum albumin in PBS, 5% fetal bovine serum, 0.2% Triton X-100, 0.1% sodium azide, and 5% goat serum for 90 min. The blocking solution was removed, and sections were incubated in a primary antibody against laminin (rabbit–antihuman, 1:250 (i.e., one-part antibody in 249 parts 1% bovine serum albumin), ab11575; Abcam, Cambridge, United Kingdom, RRID:AB_298179) overnight at 4°C. The following morning, the primary antibody was removed, and slides were washed in PBST (3 × 5 min) and incubated in secondary antibody (goat–antirabbit, 1:500, Alexa Fluor 488; Life Technologies, Carlsbad, CA, RRID:AB_2633280) for 120 min at room temperature. Sections were then washed in PBST (3 × 5 min), fixed in 2% PFA for 5 min, washed again in PBST (2 × 5 min), blocked with 10% GS in PBS for 90 min, and then incubated in a primary antibody against myosin heavy-chain slow (MHCI; mouse–antihuman, 1:2, isoform A4.951; DHSB, Iowa City, IA, RRID:AB_528385) overnight at 4°C. The following morning, sections were washed three times in PBST (3 × 5 min), incubated in secondary antibody (goat–antimouse, 1:500, Alexa Fluor 488; Life Technologies, RRID:AB_2633275) for 120 min at room temperature, and washed again in PBST (3 × 5 min) before being air-dried in the dark for 2 min. One drop of fluorescent mounting medium (ProLong™ Diamond Antifade Mountant; Life Technologies) was then applied to each section, and slides were stored at −20°C until imaging.

A microscope with a high-resolution fluorescent camera attached was used to view slides. All images were captured through the 20× objective using associated software (EVOS FL Auto 2 cell imaging system; Invitrogen, Carlsbad, CA). In this study, 58 ± 8 and 78 ± 16 type I and II muscle fibers, respectively, were counted at each biopsy/participant/time point for CSA. Slides were blinded for both group and time before one study researcher (M.C.) performing all analysis using cell counting software (Fiji, ImageJ Version 2; National Institute of Health, RRID:SCR_002285). The CV between two blinded measurements, completed before the commencement of muscle fiber CSA analysis, was 2.7%. Fibers on the periphery of sections were excluded from the analysis. Areas of sections that were affected by freeze fracture artifact or contained longitudinally oriented fibers were excluded from the analysis. If <50 fibers in total were counted at a time point, all muscle fiber CSA data for that participant at that time point were excluded from the analysis. In this study, 31 participants (ENT, n = 11; HIIT, n = 10; RET, n = 10) were included for muscle fiber CSA analysis.

Blood analyses

Frozen plasma aliquots were thawed on ice, and plasma glucose concentrations were determined in duplicate using a biochemistry analyzer (YSI 2900; YSI Life Sciences, Yellow Springs, OH), with a CV of 0.6%. Plasma insulin concentrations were determined in duplicate using an enzyme-linked immunosorbent assay (80-INSHU-E01.1; Abnova Corporation, Tapei, Taiwan), with a CV of 3.2%. Updated homeostatic model assessment of insulin resistance (HOMA2-IR) was calculated using an online calculator by the Diabetes Trials Unit, University of Oxford (http://www.dtu.ox.ac.uk/homacalculator/index.php).

Statistical Analysis

Because no previous studies have compared muscle fiber CSA responses between three different types of single-mode exercise training in human skeletal muscle, sample size was determined a priori (G*Power, Version 3.1) using previous literature assessing muscle fiber CSA changes in response to endurance or resistance exercise training (29) with the following inputs: two-tailed, effect size (d) = 1.3, α = 0.05, and power = 0.80. Statistical analyses were performed using SPSS software (version 25; IBM, Armonk, NY). Data normality was assessed before statistical analysis by assessing skewness, kurtosis, and results from Shaprio–Wilk tests. Linear mixed-effect models (LME), with subject for random intercept, were used to determine main effects of fixed factors: time (Pre, Post, DT), group (ENT, HIIT, RET), and interaction (time–group) from which residuals were plotted on a histogram to inspect data distribution. For muscle biopsy data, fiber type (i.e., type I and II) was included as a third fixed factor in the LME where muscle fiber CSA was the dependent variable.

Where significant main effects were observed (i.e., time, group, or fiber type), post hoc comparisons with Bonferroni correction were used to locate differences. When significant interaction effects were observed, post hoc comparison with Bonferroni corrections was used to determine within- and/or between-group differences. Where significant group–time interactions were detected, one-way ANOVA tests of group were subsequently performed to compare the change scores (i.e., the difference between pre and post) to identify significant between-group interactions. Significance was accepted at P < 0.05. All data in text and tables are presented as mean ± SD. All data in figures are presented as mean and individual participant responses. Estimated mean differences with 95% confidence intervals from the LME are presented in the Supplementary Table 1 (Table, Supplemental Digital Content 2, Estimated mean differences and 95% confidence intervals, https://links.lww.com/MSS/C323).

RESULTS

Participant characteristics and dietary intake

At baseline, there were no significant differences in age, BMI (Table 1), habitual energy, or macronutrient intake between groups (Table 1). A significant main effect of time (P < 0.001) was observed for protein intake relative to body mass. Post hoc comparisons showed that protein intake relative to body mass increased significantly during exercise training in all groups (P < 0.001) and remained unchanged during the period of detraining. A significant main effect of time (P = 0.007) was observed for carbohydrate intake relative to body mass. After detraining, carbohydrate intake relative to body mass decreased significantly compared with baseline in all groups (P = 0.005).

TABLE 1 - Baseline participant characteristics and macronutrient intake (Pre) and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men.
ENT HIIT RET Main Effects (P)
Pre Post DT Pre Post DT Pre Post DT Time Group Time–Group Interaction
Participant characteristics
 Age, yr 38.6 ± 2.3 40.4 ± 3.2 39.6 ± 3.5
 Height, cm 181.2 ± 9.5 179.2 ± 6.1 182.4 ± 6.1
 Body mass, kg 95.9 ± 15.8 95.9 ± 16.6 95.8 ± 16.4 92.1 ± 11.3 93.1 ± 12.2 93.2 ± 12 93.9 ± 10.4 95.7 ± 11.0 94.4 ± 11.6 0.028 0.835 0.162
 BMI, kg·m−2 29.0 ± 2.6 29.0 ± 3.0 29.0 ± 3.1 28.6 ± 3.0 28.8 ± 3.3 28.8 ± 3.4 28.1 ± 2.2 28.6 ± 2.3 28.5 ± 2.8 0.042 0.888 0.334
Body composition
 ALM, kg 8.0 ± 1.3 8.0 ± 1.4 8.0 ± 1.3 7.9 ± 1.0 8.0 ± 1.0 8.0 ± 1.0 8.1 ± 1.0 8.4 ± 1.0 a 8.3 ± 1.0 0.040 0.784 0.042
 Trunk LM, kg 27.7 ± 2.8 28.0 ± 3.0 27.9 ± 2.8 27.3 ± 2.9 27.4 ± 2.7 27.2 ± 2.5 27.6 ± 3.5 28.1 ± 3.5 27.6 ± 3.3 0.117 0.879 0.609
 Body fat, % 31.8 ± 6.1 31.4 ± 6.1 31.3 ± 6.4 30.8 ± 3.7 30.4 ± 3.7 30.6 ± 3.7 31.8 ± 3.9 30.9 ± 4.1 31.0 ± 4.1 0.016 0.922 0.074
 MT, cm 2.6 ± 0.3 2.6 ± 0.4 2.6 ± 0.3 2.5 ± 0.3 2.8 ± 0.3 a 2.7 ± 0.3 a 2.5 ± 0.3 2.8 ± 0.3 a 2.5 ± 0.3 b <0.001 0.769 <0.001
 Energy, kJ·d−1 9707 ± 1649 1000 ± 1047 9532 ± 1555 10,680 ± 2658 10,388 ± 1118 11,052 ± 1555 10,004 ± 1834 10,352 ± 1338 9916 ± 1546 0.281 0.520 0.840
 Protein, g·kg BW−1 1.3 ± 0.3 1.5 ± 0.2 1.4 ± 0.3 1.2 ± 0.3 1.5 ± 0.2 1.4 ± 0.3 1.1 ± 0.4 1.4 ± 0.2 1.4 ± 0.2 <0.001 0.733 0.130
 CHO, g·kg BW−1 2.4 ± 0.5 2.3 ± 0.5 2.2 ± 0.6 2.9 ± 1.0 2.6 ± 0.4 2.4 ± 0.6 2.6 ± 0.8 2.6 ± 0.8 2.3 ± 0.7 0.007 0.354 0.671
 Fat, g·kg BW−1 1.0 ± 0.2 1.0 ± 0.2 1.0 ± 0.2 1.1 ± 0.3 1.1 ± 0.1 1.0 ± 0.2 1.0 ± 0.2 1.0 ± 0.2 1.0 ± 0.2 0.778 0.639 0.960
Values are mean ± SD. RET at DT: n = 10 due to one dropout before final measurements. Values are mean ± SD.
aP < 0.05 versus Pre within group.
bP < 0.05 versus Post within group.
BMI, body mass index; BW, Body weight; CHO, carbohydrate; ENT, endurance exercise training; HIIT, high-intensity interval training; RET, resistance exercise training; y, years.

Body composition

At baseline, there were no significant differences in body mass, total lean mass (LM), appendicular (ALM), leg lean mass (LLM), or body fat percentage between groups (Table 1, Fig. 3). A significant time–group interaction effect (P = 0.023) was observed for LM. In response to exercise training, LM increased significantly for both RET (+2.0 ± 1.0 kg, P < 0.001) and HIIT (+1.0 ± 1.2 kg, P = 0.011), but not for ENT. The LM increase from pre to post was greater with RET compared with ENT only (+1.2 ± 1.8 kg, P = 0.041). After detraining, LM remained unchanged compared with postexercise training for both RET and HIIT. After detraining, LM remained significantly elevated compared with baseline for both RET (+1.0 ± 1.2 kg, P = 0.020) and HIIT (+1.0 ± 1.3 kg, P = 0.010), but not for ENT.

F3
FIGURE 3:
Baseline (Pre) total (A), appendicular (B), and leg (C) lean mass and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men. Data are presented as mean and individual responses. ENT, endurance exercise training; HIIT, high-intensity interval training; RET, resistance exercise training. a P < 0.05 versus Pre within group; b P < 0.05 versus Post within group; *Main effect of time (P < 0.05) versus Pre. RET at DT: n = 10.

A significant time–group interaction effect (P = 0.033) was observed for ALM. In response to exercise training, ALM increased significantly for both RET (+1.3 ± 1.2 kg, P < 0.001) and HIIT (+0.8 ± 0.8 kg, P = 0.004), but not for ENT. After detraining, ALM remained unchanged compared with postexercise training for both RET and HIIT. After detraining, ALM remained significantly elevated compared with baseline for RET (+1.0 ± 1.0 kg, P = 0.001) and HIIT (+1.0 ± 0.8 kg, P = 0.001), but not for ENT.

A significant main effect of time (P < 0.001) was observed for LLM, with an increase in LLM in response to exercise training in all groups (P < 0.001), which was maintained after detraining.

A significant main effect of time (P = 0.016) was observed for body fat percentage. Post hoc comparisons showed a significant decrease for body fat percentage after exercise training (P = 0.014), which was maintained after detraining.

1RM muscle strength

There were no significant differences at baseline for 1RM leg press, leg extension, or bench press muscle strength between groups (Fig. 4). A significant time–group interaction effect (P < 0.001) was observed for 1RM leg press muscle strength (Fig. 4A). In response to exercise training, 1RM leg press muscle strength increased significantly in all groups (RET: +70 ± 31 kg, P < 0.001; HIIT: +27 ± 19 kg, P < 0.001; ENT: +16 ± 16 kg, P = 0.026). The pre–post 1RM leg press muscle strength increase was greater with RET compared with both ENT (+51 ± 38 kg, P < 0.001) and HIIT (+41 ± 40 kg, P = 0.001). After detraining, 1RM leg press muscle strength increased significantly compared with postexercise training for ENT (+16 ± 18 kg, P = 0.008), but remained unchanged for both RET and HIIT. As such, 1RM leg press between posttraining and detraining was higher with ENT compared with both RET (+22 ± 24 kg, P = 0.003) and HIIT (+17 ± 25 kg, P = 0.033). Compared with baseline, 1RM leg press muscle strength remained significantly elevated after detraining (all, P < 0.001).

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FIGURE 4:
Baseline (Pre) leg press 1RM (A), leg extension 1RM (B), bench press 1RM (C), sum of all 1RMs (D), and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men. Data are presented as mean and individual responses. ENT, endurance exercise training; HIIT, high-intensity interval training; RET, resistance exercise training; 1RM, one-repetition maximum. a P < 0.05 versus Pre within group; b P < 0.05 versus Post within group. ENT, bench press: n = 11; HIIT, leg press at Post: n = 11; RET at DT: n = 10.

A significant time–group interaction effect (P = 0.022) was observed for 1RM leg extension muscle strength (Fig. 4B). In response to exercise training, 1RM leg extension muscle strength increased significantly for both RET (+23 ± 11 kg, P < 0.001) and HIIT (+11 ± 11 kg, P = 0.005), whereas there was a trend for and increase for ENT (+8 ± 12 kg, P = 0.064). The increase in 1RM leg extension muscle strength between rest and posttraining with RET was only higher than ENT (+14 ± 19 kg, P = 0.024). After detraining, 1RM leg extension muscle strength remained unchanged in all groups compared with postexercise training. After detraining, 1RM leg extension muscle strength remained significantly elevated compared with baseline (all, P < 0.05).

A significant time–group interaction effect (P = 0.001) was observed for 1RM bench press muscle strength (Fig. 4C). In response to exercise training, 1RM bench press muscle strength increased significantly for both RET (+10 ± 4 kg, P < 0.001) and HIIT (+5 ± 6 kg, P = 0.034), but not for ENT, with this increase greater between RET and ENT (+7 ± 8 kg, P = 0.005). After detraining, 1RM bench press muscle strength remained unchanged compared with postexercise training for both RET and HIIT. After detraining, 1RM bench press muscle strength remained significantly elevated compared with baseline for RET (+15 ± 13 kg, P < 0.001), but not for HIIT or ENT.

A significant time–group interaction effect (P = 0.001) was observed for the sum of all 1RMs (Fig. 4D). In response to exercise training, the sum of all 1RMs increased significantly in all groups (RET: +90 ± 38 kg, P < 0.001; HIIT: +41 ± 23 kg, P = 0.001; ENT: +23 ± 21 kg, P = 0.002). The increase in the sum of 1RMs was greater with RET compared with both ENT (+71 ± 42 kg, P < 0.001) and HIIT (+53 ± 43 kg, P < 0.001). After detraining, the sum of all 1RMs remained unchanged compared with postexercise training in all groups. After detraining, the sum of all 1RMs remained significantly elevated compared with baseline (all, P < 0.05).

V˙O2peak and MAP

At baseline, there were no significant differences in V˙O2peak or MAP between groups (Fig. 5). A significant time–group interaction effect (P = 0.001) was observed for V˙O2peak (Fig. 5A). In response to exercise training, V˙O2peak increased significantly for both HIIT (+0.4 ± 0.2 L·min−1, 14% ± 7%, P < 0.001) and ENT (+0.3 ± 0.3 L·min−1, 11% ± 11%, P < 0.001), but not for RET. Indeed, the increase in V˙O2peak posttraining was higher with HIIT compared with RET (+0.3 ± 0.3 L·min−1, P = 0.003). After detraining, V˙O2peak decreased significantly compared with postexercise training for HIIT (−0.2 ± 0.1 L·min−1, −6% ± 4%, P = 0.005), and there was a trend for a decreased V˙O2peak for ENT (−0.1 ± 0.2 L·min−1, −4% ± 5%, P = 0.055). After detraining, V˙O2peak remained elevated compared with baseline for both HIIT (+0.2 ± 0.2 L·min−1, 8% ± 6%, P = 0.001) and ENT (+0.2 ± 0.2 L·min−1, 6% ± 7%, P = 0.009), but not for RET. As such, V˙O2peak was higher between baseline and detraining after HIIT compared with RET (+0.2 ± 0.4 L·min−1, P = 0.043).

F5
FIGURE 5:
Baseline (Pre) V˙O2peak (A), MAP (B), and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men. Data are presented as mean and individual responses. ENT, endurance exercise training; HIIT, high-intensity interval training; RET, resistance exercise training; W, watt. a P < 0.05 versus Pre within group; b P < 0.05 versus Post within group. HIIT at DT: n = 11; RET at DT: n = 10.

A significant time–group interaction effect (P < 0.001) was observed for MAP (Fig. 5B). In response to exercise training, MAP increased significantly for both HIIT (+30 ± 9 W, P < 0.001) and ENT (+26 ± 14 W, P < 0.001), but not for RET. The change in MAP between rest and posttraining was higher with ENT compared with RET (+16 ± 20 W, P = 0.007) as well as with HIIT compared with RET (+20 ± 20 W, P = 0.001). After detraining, MAP decreased significantly for HIIT (−17 ± 11 W, P = 0.001) compared with postexercise training but remained unchanged for ENT. The decrease in MAP with HIIT from postexercise to detraining was significantly greater compared with ENT (−13 ± 15 W, P = 0.004) and RET (−13 ± 16 W, P = 0.007). After detraining, MAP remained significantly elevated compared with baseline for both HIIT (+13 ± 14 W, P < 0.001) and ENT (+23 ± 13 W, P < 0.001), but not for RET. MAP was significantly higher from baseline to detraining between HIIT and RET only (+17 ± 21 W, P = 0.009).

Muscle fiber characteristics

At baseline, there were no significant differences in type I or II muscle fiber CSA between groups (Table 2). There was no significant time–group–fiber type interaction effect for muscle fiber CSA. A significant main effect of time was observed for type I and II muscle fiber CSA in all groups (all, P = 0.007). In response to exercise training, type I and type II muscle fiber CSA increased significantly (P = 0.006) in all groups. After detraining, type I and II muscle fiber CSA remained unchanged compared with postexercise training in all groups.

TABLE 2 - Baseline vastus lateralis muscle fiber characteristics (Pre) and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men.
ENT HIIT RET Main Effects (P)
Pre Post DT Pre Post DT Pre Post DT Time Group Time–Group Interaction
Type I CSA, μm2 3672 ± 776 4245 ± 1309 4268 ± 1336 3672 ± 698 4611 ± 1364 3616 ± 555 4412 ± 1329 4345 ± 962 3837 ± 872 0.007 0.760 0.313
Type II CSA, μm2 4269 ± 943 4949 ± 2060 4804 ± 1548 3423 ± 719 3960 ± 774 3690 ± 961 3479 ± 865 4222 ± 867 3552 ± 456 0.007 0.760 0.313
Type I % 46 ± 12 41 ± 10 49 ± 14 40 ± 18 39 ± 21 48 ± 18 36 ± 10 44 ± 10 40 ± 8 0.034 0.923 0.383
Type II % 54 ± 12 59 ± 10 51 ± 14 60 ± 18 61 ± 21 52 ± 18 64 ± 10 56 ± 10 60 ± 8 0.034 0.923 0.383
Values are mean ± SD. Fiber type % is ENT: n = 11; HIIT: n = 10; RET: n = 10.
CSA, muscle fiber cross-sectional area; ENT, endurance exercise training; HIIT, high-intensity interval training; RET, resistance exercise training.

At baseline, there were no significant differences in the proportion of type I or type II fibers between groups (Table 3). A significant main effect of time was observed for both type I and II fiber type percentages (both, P < 0.05); however, no significant differences between time points could be detected in all groups.

TABLE 3 - Baseline (Pre) REE and oral glucose tolerance measurements and changes after 6 wk of exercise training (Post) and 2.5 wk of detraining (DT) in middle-age men.
ENT HIIT RET Main Effects (P)
Pre Post DT Pre Post DT Pre Post DT Time Group Group Time –Group Interaction
Resting metabolic rate test
 REE, kcal 1974 ± 210 1968 ± 210 1926 ± 198 1955 ± 210 1941 ± 210 1922 ± 204 2056 ± 210 2014 ± 210 2028 ± 190 0.349 0.486 0.924
Oral glucose tolerance test
 Fasting plasma  glucose  (mmol·L−1) 5.4 ± 0.5 5.2 ± 0.5 5.5 ± 0.8 5.1 ± 0.3 5.0 ± 0.3 5.1 ± 0.3 5.2 ± 0.9 5.5 ± 0.5 a 5.1 ± 0.9 b 0.848 0.501 0.001
 AUC total glucose,  mmol·h−1·L−1 893 ± 193 824 ± 131 899 ± 179 726 ± 99 721 ± 108 731 ± 154 874 ± 165 798 ± 139 773 ± 146 0.085 0.273 0.113
 Fasting plasma  insulin,  mIU·L−1 7.4 ± 5.9 6.0 ± 5.1 6.7 ± 5.4 5.3 ± 2.7 5.5 ± 2.8 4.5 ± 2.4 9.8 ± 7.7 8.1 ± 6.6 7.9 ± 4.7 0.035 0.349 0.246
 AUC total  insulin,  mmol·h−1·L−1 6098 ± 3810 6096 ± 6496 7136 ± 6297 4563 ± 2063 3955 ± 1883 4194 ± 2118 9277 ± 5751 7271 ± 4196 7239 ± 4819 0.129 0.097 0.061
 HOMA2-IR 1.0 ± 0.7 0.8 ± 0.7 0.9 ± 0.7 0.7 ± 0.3 0.7 ± 0.4 0.6 ± 0.3 1.2 ± 1.0 1.1 ± 0.9 1.1 ± 0.6 0.133 0.207 0.559
Values are mean ± SD. RET at DT: n = 10.
AUC, area under the curve; ENT, endurance exercise training; HIIT, high-intensity interval training; HOMA2-IR, homeostatic model assessment of insulin resistance; RET, resistance exercise training.
aP < 0.05 versus Pre within group.
bP < 0.05 versus Post within group.

Muscle thickness

At baseline, there were no significant differences in MT between groups (Table 1). A significant time–group interaction effect (P < 0.001) was observed for MT (Table 1). In response to exercise training, MT increased significantly for both RET (+0.3 ± 0.2 cm, P < 0.001) and HIIT (+0.3 ± 0.2 cm, P < 0.001), but not for ENT. As such, changes in MT between baseline and posttraining were greater between RET and ENT (+0.3 ± 0.2 cm, P < 0.001) and between HIIT and ENT (+0.3 ± 0.2 cm, P < 0.001). After detraining, MT decreased significantly compared with postexercise training for RET (−0.3 ± 0.1 cm, P < 0.001), but remained unchanged for HIIT. Changes between posttraining and detraining were greater with RET compared with ENT (+0.3 ± 0.2 cm, P = 0.000) as well as with HIIT compared RET (+0.2 ± 0.2 cm, P = 0.015). After detraining, MT remained significantly elevated compared with baseline for HIIT (+0.2 ± 0.2 cm, P < 0.001), but returned to preexercise training levels for RET.

REE and OGTT

At baseline, there were no significant differences in REE between groups (Table 3). REE did not change after exercise training or detraining in all groups.

At baseline, there were no differences between groups for any measurements derived from the OGTT (Table 3). A significant time–group interaction effect (P = 0.001) was observed for fasting plasma glucose. In response to exercise training, fasting plasma glucose increased significantly for RET (+0.4 ± 0.6 mmol·L−1, P = 0.001), but not HIIT or ENT. After detraining, fasting plasma glucose decreased significantly compared with postexercise training for RET (−0.4 ± 0.5 mmol·L−1, P = 0.002) that was also greater compared with ENT (+0.5 ± 0.7 mmol·L−1, P = 0.049). Total glucose area under the curve did not change after exercise training or detraining in all groups.

A significant main effect of time (P = 0.035) was observed for fasting plasma insulin. Post hoc comparisons showed a significant decrease for fasting plasma insulin after detraining (P = 0.038) compared with baseline. A trend for a time–group interaction effect was observed for total insulin area under the curve (P = 0.061). HOMA2-IR did not change after exercise training or detraining in all groups.

Physical activity

At baseline, there were no significant differences in physical activity measurements between groups (Table, Supplemental Digital Content 3, Physical activity, https://links.lww.com/MSS/C324). A trend for a main effect of time was observed for daily step count (P = 0.067). A significant main effect of time was observed for the percentage of the day spent moving (P = 0.011) and standing (P = 0.023). Post hoc comparisons showed a reduction in the percentage of the day spent moving (P = 0.011) and standing (P = 0.020) during detraining compared with week 4 of exercise training.

A significant main effect of time was observed for percentage of the day spent sitting (P = 0.011). Post hoc comparisons showed an increase in the percentage of the day spent sitting during detraining compared with week 4 of exercise training (P = 0.011).

A significant time–group interaction effect (P < 0.001) was observed for the percentage of the day spent cycling. At week 4 of exercise training, the percentage of the day spent cycling increased significantly compared with baseline for ENT (+1% ± 1%, P < 0.001), but not for HIIT or RET. At week 4 of exercise training, the percentage of the day spent cycling was significantly greater for ENT compared with HIIT (+1% ± 1%, P = 0.010) and RET (+2% ± 1%, P < 0.001). The difference at week 4 in the percentage of the day spent cycling was greater with ENT compared with RET (+1% ± 2%, P = 0.003).

DISCUSSION

We show that short-term HIIT can induce widespread changes in whole-body physical fitness and skeletal muscle adaptation as demonstrated by increases in peak aerobic capacity, LM, MT, and muscle strength. Although the exercise training–induced gains in LM with RET and HIIT were maintained after short-term detraining, improvements in aerobic capacity after HIIT and ENT did not persist.

Exercise Training Responses

Muscle strength and aerobic capacity

Physical fitness before surgery is an independent predictor of postoperative morbidity and mortality (6). Preoperative exercise training is one intervention that can enhance physical fitness and better prepare an individual for subsequent surgery. However, preoperative exercise training programming requires optimized prescription (e.g., single- vs dual-mode) to meet the individual needs of various clinical populations within a short time frame (4). After 6 wk of exercise training, we observed that all exercise modalities increased whole-body muscle strength (i.e., sum of all 1RMs), although exercise training–induced increases in aerobic capacity were only induced after HIIT and ENT. To the best of our knowledge, only one other study has directly compared the effects of ENT, HIIT, and RET on muscle strength and aerobic capacity in middle-age adults (30). In that investigation, 12 wk of RET increased 1RM leg press muscle strength (+25%), but walking/running HIIT and ENT did not (30). In contrast, we observed an increase in 1RM leg press muscle strength with cycling HIIT (+11%) and ENT (+8%), although these changes were less than the training-induced increase observed with RET. Although it is difficult to explain why our shorter HIIT and ENT protocols (i.e., 6 vs 12 wk) increased 1RM muscle strength, key differences were apparent in study designs between our current work and that of Schjerve and coworkers (30). First, our exercise program involved a progressive overload where we retested all exercise groups halfway through our training intervention to readjust training zones to increasing strength adaptations. Secondly, we increased dietary protein intake (~1.4 g·kg BW−1·d−1) to help augment anabolic adaptations to exercise training. Finally, all our training sessions were supervised in the laboratory to monitor first-hand training technique and ensure appropriate training intensity. Collectively, increases in muscle strength with short-term aerobic-based exercise training may be dependent on incorporating supervised training programs that provide appropriate training intensity/progressive overload and with supportive nutritional measures. However, an important limitation to this inference is that our study only recruited men. Whether women could similarly increase muscle strength with short-term HIIT, particularly in light of substantial differences in hormonal milieu between sexes in middle-age adulthood, remains an area of further investigation. In addition, we cannot discount the potential of a “learned effect” that may explain our current strength results. Thus, future studies that incorporate appropriate strength testing familiarization sessions preceding short-term HIIT and END training are warranted. We also found that aerobic capacity increased with HIIT and ENT (+14% and +11%, respectively), but not after RET, in agreement with previous reports in middle-age adults (9,31–34). Increased aerobic capacity of a similar magnitude (~10%) to that seen after HIIT and ENT has been reported after 12 wk of RET in middle-age adults (30). Therefore, the RET program used in the current study may not be the most suitable where short-term RET-induced improvements in aerobic capacity are desired. Alternatively, circuit-based RET involving whole-body movement that induces greater stress on the cardiovascular system, while also increasing muscle strength, may provide a better option for enhancement of both components of physical function. Although our participants were not preoperative patients, our findings demonstrate that short-term HIIT and ENT can lead to improved muscle strength after short-term exercise training. Short-term cycling-based exercise training (e.g., ENT or HIIT) may be of use in clinical scenarios where the surgery patient cannot or does not wish to participate in strength-based exercise training (e.g., physical restrictions, access to equipment, and instructor availability).

LM, MT, and muscle fiber size

In many populations, reduced functional capacity and skeletal muscle mass is a predictor of unfavorable postoperative outcomes (15,16,35). Thus, preoperative exercise training–induced increases in skeletal muscle mass can better prepare the patient for surgery and the ensuing recovery period (7). There is a paucity of information regarding LM responses after different types of short-term exercise training in both presurgery patients and healthy middle-age adults. In the current study, the largest increase in LM was induced by RET (+2 kg), although HIIT also significantly increased LM (+1 kg), whereas there was no change observed after ENT. Although this increase in LM with HIIT was statistically significant, it was similar to the CV of the densitometer used to obtain LM measurements (i.e., 1.6% vs 1.5%) and should be interpreted with caution. Robinson and coworkers (36) reported increases in fat-free mass in young and older adults after 12 wk of RET or HIIT (~2 and ~1 kg, respectively). Despite our shorter exercise training protocols, we observed similar changes in fat-free mass (data not shown) after RET and HIIT. Unlike our study, Robinson and coworkers (36) did not control for dietary protein intake. We ensured participants met a protein target (~1.4 g·kg BW−1·d−1) recommended to promote and maintain muscle growth while exercise training (28) as part of a free-living eating plan that may have augmented gains in LM. Without a non–protein-supplemented exercise training group (e.g., ~1.0 g·kg BW−1·d−1) we cannot evaluate the contribution of increased protein intake to observed gains in LM.

Six weeks of RET and HIIT but not ENT increased vastus lateralis MT (+11% and 10%, respectively). We have previously reported that 12 wk of RET and ENT increased vastus lateralis MT (+14% and 10%, respectively) in young recreationally active men consuming a high-protein diet (2 g·kg BW−1·d−1) (37). Notably, ENT comprised interval-style exercise sessions in the final month of the program in that study (37). Our results show that improvements of a similar magnitude are attainable after short-term RET and HIIT in middle-age men. However, as ultrasound measures occurred ~24–48 h after muscle biopsies in all participants because of unavoidable logistical reasons, we cannot rule out any possible effects of local edema/swelling in the vastus lateralis that may have affected MT measurements. Taken together, these findings suggest that higher-intensity intermittent exercise (aerobic- or resistance-based) may be an important consideration where exercise training–induced increases in muscle mass/thickness are required in a relatively short period of time (i.e., 6 wk) in middle-age men. To the best of our knowledge, this is the first study to report changes in muscle fiber size after ENT, HIIT, and RET in middle-age adults. de Souza and coworkers (38) observed muscle fiber hypertrophy (type I and IIa) after 8 wk of RET but not HIIT in young men. As the HIIT intervention in that study involved treadmill running, it is plausible the high eccentric component of this contractile mode may have induced greater muscle damage and thus limited its anabolic potential. Indeed, previous work has reported running-based activity to produce greater attenuation of lower-body muscle strength and hypertrophy compared with cycling (39). Farup and coworkers (29) reported increased type II but not type I muscle fiber size in response to 10 wk of RET but not ENT (that included one weekly HIIT session) in young, untrained men. Although these findings are difficult to reconcile considering the similarities in participant training status and mode of ENT, the potential for aerobic-based exercise to increase muscle fiber CSA is area of research requiring further investigation that may confer health and performance benefits. We must also acknowledge that our small sample size for CSA analyses and the variation in resting fiber CSA within our sedentary middle-age participants, which may have limited the potential to detect posttraining and detraining CSA differences.

The current findings demonstrate that short-term HIIT can concurrently increase aerobic capacity and LM, an outcome that would typically be achieved using combined exercise training. As HIIT is a time-efficient intervention and may be perceived as more enjoyable to undertake compared with ENT (40), HIIT may be appealing to some presurgery patients. However, future studies comparing short-term HIIT and combined exercise training in surgery patients are needed to confirm if HIIT can match the beneficial physical effects of combined exercise training.

REE and glucose homeostasis

Fat-free mass, including metabolically active tissue such as skeletal muscle, is a large determinant of REE (41). Increases in surrogates of muscle mass (e.g., lean/fat-free mass) and REE have been reported after different types of prolonged exercise training in some (42) but not all studies (43,44). In the current study, both RET and HIIT increased LM without detectable changes in REE. Exercise training did not improve fasting glucose, insulin, or respective areas under the curve after a 2-h OGTT, most likely because our participants had good glycemic control before the study.

Detraining Responses

Muscle strength & aerobic capacity

Short periods (~2 wk) of reduced physical activity induce skeletal muscle deconditioning (45,46). Exercise training can attenuate catabolic events typically observed during periods of reduced physical activity (47). However, studies addressing the exercise modality that best preserves physical fitness and skeletal muscle adaptation responses after short-term exercise training cessation are few. We observed exercise training–induced gains in muscle strength were maintained after 2.5 wk of detraining, despite declines in aerobic capacity. Although our participants were ambulatory during the detraining period, we observed a reduction in the percentage of the day spent moving and an increase in percentage of the day spent sitting (main effects of time).

Spence and coworkers (48) investigated the effects of 6 wk of detraining after 6 months of ENT or RET on aerobic capacity and muscle strength in young men. Detraining resulted in a significant decline in aerobic capacity with ENT despite the maintenance of lower body muscle strength (1RM squat). In contrast, upper (1RM bench press) and lower body muscle strength gains persisted after detraining after the RET intervention (48). In the current study, we observed similar patterns for changes in aerobic capacity and muscle strength after detraining with ENT and RET. Declines in V˙O2peak concomitant with loss of capillarization and mitochondrial enzyme activities have been reported after 2–4 wk of detraining proceeding short-term aerobic exercise training (49,50). In addition, a loss of plasma volume may have also contributed to observed decreases in aerobic capacity after short-term detraining (51). Overall, our results and previous work (48) indicate that short-term and prolonged ENT-induced increases in aerobic capacity are lost rapidly (~2–6 wk) compared with the time course for declines in muscle strength in young and middle-age men.

LM, MT, and muscle fiber size

We found exercise training–induced increases in surrogates of whole-body and regional muscle mass after RET and HIIT were maintained after a short period of exercise training cessation similar in duration to the early postoperative period faced by patients who have undergone surgery. As such, short-term single-mode higher-intensity exercise training before periods of forced inactivity may provide benefits to physical function, combatting the catabolic effects of reduced physical activity typically observed after inactivity and/or surgery (52,53). However, it should also be noted that leg press muscle strength gains were preserved after detraining with ENT. As lower body muscle strength contributes to mobility, we speculate that different types of single-mode exercise training (albeit to varying magnitudes) are capable of retaining components important for physical function. Whether preservation of lower body muscle strength aligns with improved early postoperative clinical outcomes (e.g., less time in hospital and reduced postoperative complications) in surgery cohorts after different types of short-term exercise training remains to be determined. In the current study, type I and II muscle fiber CSA was maintained after detraining independent of exercise training modality. However, we must acknowledge that both type I and II fiber CSA were numerically lower than postexercise training levels after detraining in the RET (type I, −11%; type II, −16%) and HIIT groups (type I, −20%; type II, −10%). Although this reduction was not statistically significant likely because of low sample size, it cannot be discounted that the observed decrease with detraining represents a clinically relevant decrease in muscle fiber size.

Although the middle-age men in the current study are likely to have been more physically active during the detraining period than many postoperative patients, early ambulation is often encouraged where possible after surgery (2). Thus, we believe our results provide proof of principle that short-term single-mode higher-intensity exercise training can counter some of the catabolic effects in skeletal muscle induced by short-term reduced physical activity (e.g., decreased muscle mass). Whether single-mode exercise training can benefit muscle adaptation responses shortly before and after surgery needs to be explored in a variety of surgery populations (e.g., elective surgery and oncology).

CONCLUSIONS

Six weeks of RET and HIIT but not ENT increased markers of skeletal muscle mass including LM and vastus lateralis MT. The magnitude in LM increase with HIIT was less than RET and must be interpreted with caution, given that this increase was similar to the CV of the densitometer. Although all exercise training modalities increased muscle fiber size and lower body maximal strength, only HIIT and ENT increased aerobic capacity. After short-term detraining, lower body muscle strength gains were maintained, and LM gains persisted with RET and HIIT. In contrast, exercise training–induced increases in aerobic capacity with HIIT and ENT were not retained after detraining.

The authors gratefully thank the participants for completing the protocol; Dr. Andrew Garnham, Mr. John Waters, and Mr. Matthew Rawnsley for their technical assistance with data collection; Dr. Collene Steward and Mr. Guilherme Telles for their technical assistance with laboratory analysis; and Dr. Lex Verdijk and Professor Luc Van Loon for their assistance with data interpretation. The authors also acknowledge the following companies for generously supporting the study by supplying foods and supplements consumed by participants at no charge: Swisse Wellness Pty Ltd, Australia, and Bulk Nutrients, Pty Ltd, Australia for whey protein powder, and Chobani LLC, Australia, and Jalna Dairy Foods Pty Ltd, Australia for high-protein yoghurt. This project was funded by the Australian Catholic University Research Fund (2016000340) awarded to Donny Camera. The authors declare that the results of the present study do not constitute endorsement by American College of Sports Medicine. Also, the results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation. The authors declare no conflict of interest.

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Keywords:

SKELETAL MUSCLE GROWTH; MUSCLE ADAPTATION; PROTEIN; SHORT-TERM TRAINING

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