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Gentil, P. Interval Training and the Immune System. Encyclopedia. Available online: https://encyclopedia.pub/entry/17671 (accessed on 29 November 2023).
Gentil P. Interval Training and the Immune System. Encyclopedia. Available at: https://encyclopedia.pub/entry/17671. Accessed November 29, 2023.
Gentil, Paulo. "Interval Training and the Immune System" Encyclopedia, https://encyclopedia.pub/entry/17671 (accessed November 29, 2023).
Gentil, P.(2021, December 30). Interval Training and the Immune System. In Encyclopedia. https://encyclopedia.pub/entry/17671
Gentil, Paulo. "Interval Training and the Immune System." Encyclopedia. Web. 30 December, 2021.
Interval Training and the Immune System
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Interval training (IT) is a popular training strategy recognized by its positive effects on metabolic and cardiovascular system. However, there seems no consensus regarding the effects of IT on immune system parameters. Therefore, researchers aimed to summarize the evidence regarding the effects of IT on the immune system. As our many findings, an IT acutely promote a transitory change on immune cell count followed by reduced function. The magnitude of these changes seems to vary in accordance with IT type. On the other hand, the regular practice of IT might contribute to improve immune function without apparent change on immune cell count.

immunity immunologic monitoring immunoglobulin A aerobic capacity physical activity high-intensity interval exercise leukocytes infectious disease

1. Introduction

It is widely accepted that moderate-intensity continuous training (MICT) with short to moderate duration (<60 min) is associated with an enhanced immune defense [1]. However, acute bouts of high-intense or high-volume aerobic exercise might provide transitory negative changes on immune cell count and function (lasting between 3 h to 72 h depending on the immune outcome) [2][3]. This might lead to immunosuppression and increased risk for infectious diseases [1][4][5].
The underlying mechanisms to exercise-induced immunosuppression, referred to as the “open window”, are multifactorial and involve neuroendocrine and metabolic factors such as catecholamines, cortisol and growth hormones [3][6]. Immunosuppression usually occurs after intensive training protocols that result in increased levels of inflammation, metabolic and oxidative stress [4]. Therefore, it is important to study different aerobic training protocols since different physiological demands could have different impacts on immune function.
Interval training (IT) is an aerobic training strategy that usually consists in interspacing periods of high-intensity efforts with periods of rest or low-intensity exercise [7][8]. The rationality behind this strategy is to allow the accumulation of higher volume of vigorous exercise than those that could be achieved performing continuous exercise at high intensity [9]. Although current studies about the topic involve low-volume protocols [10][11][12][13], IT is usually performed near or at maximum individual’s capacity, which might result in higher metabolic and hormonal stress in comparison with MICT [14].
During the past century, IT gained popularity in sports preparation [15]. This training strategy was widely adopted by coaches and athletes to train at workloads closer to their specific performance competition [15]. However, in recent decades the recommendations of IT performance have been extended to non-athlete’s subjects as an effective strategy for health promotion [16][17]. Although compelling evidence from healthy and clinical populations have consistently shown that IT promotes metabolic and cardiovascular benefits in a similar or greater extent than MICT [10][18][19][20][21], there seems to be no consensus regarding the effects of IT on the immunological system.

2. Included Studies

Initially, 174 records were retrieved through searches strategy. After removing duplicates, 172 articles were screened for title and/or abstract analyses. Within these, 130 studies did not meet inclusion criteria and were removed. Subsequently, two researchers (DS and AFV) independently reviewed full text of the 42 remaining studies, in which three studies were removed because involved polarized training [22][23][24], three studies lack appropriate IT protocol description [25][26][27] and one study involved cold water immersion [28]. As result, 35 studies were included in final qualitative analysis. From these, 18 studies were included in quantitative analysis, where 12 studies were clinical trials, and six studies were randomized cross-over trials. When the study involved more than one IT intervention (e.g., different IT protocol or separated by sex), the data obtained from each intervention was calculated as an independent trial in meta-analysis. All these steps are described in Figure 1.
Figure 1. Flowchart of study selection.

3. Summary of Studies

Studies’ characteristics are summarized in Table 1 and Table 2. Twenty-three studies investigated exclusively the acute effects of IT, whereas 10 studies performed interventions lasting between 1 [29][30] and 26 weeks [31]. Two studies performed both acute and chronic investigations [32][33].
Table 1. Summarize of studies investigating the acute effects of interval training on immune outcomes.
Study Participants Design Modality/Interval Protocol Results
Monje et al. 2020 [34] 20 runners (10 men age: 21.9 ± 0.8 years; 10 women age: 25.8 ± 6.2 years) Clinical trial Running
HIIT—10 bouts of 4 min at 90% of vV˙O2max interspersed by 2 min of passive recovery
↑ salivary IgA concentration 20 min after exercise
Wahl et al. 2020 [35]
12 men triathletes and cyclists (age: 24.7 ± 3.4 years)
Randomized cross-over trial
Cycling
HIIT—4 bouts of 4 min at 90–95% of peak power interspersed by 3 min of passive recovery
↔ leucocyte count; ↓ lymphocyte count 30 min, and 60 min after exercise; ↑ neutrophil count 180 min after exercise; ↔ mixed cell count
Cycling
HIIT—4 bouts of 4 min at 90–95% of peak power interspersed by 3 min at 45% of peak power
↔ leucocyte count; ↑ lymphocyte count immediately after exercise followed by ↓ 30 min, 60 min and 180 min after exercise; ↑ neutrophil count 60 min and 180 min after exercise; ↔ mixed cell count
Cycling
SIT—4 bouts of 30 s “all-out” effort interspersed by 7.5 min passive recovery
↑ leucocyte count immediately, and 180 min after exercise; ↑ lymphocyte count immediately after exercise followed by ↓ 60 min and 180 min after exercise; ↑ neutrophil count 60 min and 180 min after exercise; ↑ mixed cell count immediately after exercise
Cycling
SIT—4 bouts of 30 s “all-out” effort interspersed by 7.5 min at 45% of peak power
↑ leucocyte count immediately, and 180 min after exercise; ↑ lymphocyte count immediately after exercise followed by ↓ 30 min, 60 min, and 180 min after exercise; ↑ neutrophil count 60 min, and 180 min after exercise; ↔ mixed cell count
De Oliveira Ottone et al. 2019 [36] 12 inactive health men (age: 22.5 ± 3.9 years) Clinical trial Cycling
HIIT—8 bouts of 60 s at 90% peak power interspersed by 75 s of active recovery (30 watts)
↓ neutrophil oxidative burst in response to f-PMN 30 min after exercise; ↑ neutrophil phagocytic capacity, oxidative burst and redox status 24 h after exercise
Jamurtas et al. 2018 [37] 12 health men (age: 22.4 ± 0.5 years) Randomized cross-over trial Cycling
SIT—4 bouts of 30 s “all-out” effort interspersed by 4 min of active recovery
↑ leucocyte count immediately after exercise
Souza et al. 2018 [38] 10 obese men (age: 28.5 ± 2.7 years) Randomized cross-over trial Running
HIIT—10 bouts of 1 min at 90% of Vmax interspersed by 1 min at 30% of Vmax
↔ secretory IgA and IgA concentration
Rodrigues de Araujo et al. 2018 [39] 32 men soccer players (age: 21.2 ± 4.2 years) Clinical trial Running
SIT—7 bouts of 40 m “all-out” effort with direction changes interspersed by 25 s of active recovery (light jogging)
↔ IgA concentration
Belviranli et al. 2017 [40] 10 inactive health men (age: 20.0 ± 1.33 years) Clinical trial Cycling
SIT—4 bouts of 30 s “all-out” effort interspersed by 4 min of active recovery (the load was determined according with the Monark Anaerobic Test Software)
↑ leucocyte count immediately, 3h, and 6 h after exercise; ↑ lymphocyte count immediately after exercise followed by ↓ lymphocyte count 3 h, and 6 h after exercise; ↑ neutrophil count 3 h, and 6 h after exercise; ↔ monocyte count; ↑ eosinophil count immediately after exercise followed by ↓ 3 h, and 6 h after exercise; ↑ basophil count immediately after exercise
Krüger et al. 2016 [41] 23 untrained health men (age: 25.7 ± 3.2 years) Randomized cross-over trial Cycling
HIIT—5 bouts of 3 min at 90% peak power output interspersed by 3 min of active recovery (without resistance)
↑ lymphocyte CD3+, CD4+ and CD8+ count immediately, and 3 h after exercise; ↑ mobilization of low differentiated T cells, regulatory T cells and progenitor cells; ↑ apoptosis in high differentiated T cells
Tossige-Gomes et al. 2016 [42] 10 inactive health men (age: 23.7 ± 1.1) Clinical trial Cycling
HIIT—8 bouts of 1 min at 100% of peak power interspersed by 75 s of active recovery at 30 W
↑ lymphocyte redox imbalance 30 min after exercise; ↓ lymphocyte proliferation in response to antigenic, but not to mitogenic stimulation immediately and 30 min after exercise
  6 inactive health men (age: 21.3 ± 1.8 years)   Cycling
HIIT—8 bouts of 1 min at 100% of peak power interspersed by 75 s of active recovery at 30 W
↔ lymphocyte viability
Turner et al. 2016 [43] 9 health men (age: 22.1 ± 3.4 years) Randomized cross-over trial Cycling
HIIT—10 bouts of 1 min at 90% of V˙O2max interspersed by 1 min at 40% of V˙O2max
↑ leucocyte, lymphocyte count immediately after exercise; mobilization of cutaneous lymphocyte natural killer and lymphocyte CD8+ to blood
Dorneles et al. 2016 [44] 12 overweight-obese men (age: 27.41 ± 9.20 years) Randomized cross-over trial Running
HIIT—10 bouts of 1 min at 85–90% maximum power output interspersed by 75 s at 50% maximum power output
↑ leucocyte, lymphocyte, and monocyte count immediately after exercise
  10 lean men (age: 26.5 ± 6.11 years)   Running
HIIT—10 bouts of 1 min at 85–90% maximum power output interspersed by 75 s at 50% maximum power output
↑ leucocyte immediately and 30 min after exercise; ↑lymphocyte and monocyte immediately after exercise
Arroyo-Morales et al. 2012 [45] 50 active health subjects, 25 men (age: 22.4 ± 3.42 years) Clinical trial Arm-cycling
SIT—3 bouts of 30 s “all-out” effort interspersed by 3 min (90 s of active recovery at 50% W work rate and 90 s of passive recovery)
↔ secretory IgA
Friedman et al. 2012 [46] 8 health subjects, 4 men (age: 24) Clinical trial SIT—2 sets of 3 bouts of 30 s “all-out” effort interspersed by 2 min of active recovery. Sets were separated by 6.75 min ↑ lymphocyte CD8+, and CD8+/CD45RA+ count and ↑ lymphocyte CD8+, and CD8+/CD45RA+ migration immediately after exercise. ↑ lymphocyte CD8+, and CD8+/CD45RA+ count and ↔ lymphocyte CD4+, and CD4+/CD45RA+ migration immediately after exercise
Fisher et al. 2011 [33] 8 active health men (age: 22 ± 2 years) Clinical trial Cycling
HIIT—4 bouts with 30 s at 90% of maximum anaerobic power interspersed by 4 min of active recovery at 15% of maximum anaerobic power
↑ leucocyte and neutrophil counts immediately and 3 h after exercise; ↑ lymphocyte count immediately after exercise; ↓ lymphocyte cell viability 3 h after exercise
Davison 2011 [47] 9 active health men (age: 27 ± 5 years) Randomized cross-over trial Cycling
SIT—4 bouts of 30 s “all-out” effort interspersed by 4 min of active recovery with light loads
↔ secretory IgA and ↑ IgA concentration; ↑ neutrophil count immediately and 30 min after exercise; ↓ neutrophil oxidative burst in response to fMLP 30 min after exercise
Thomas et al. 2010 [48] 10 health adolescent women (age 15.5 ± 0.6 years) Clinical trial Cycling
SIT—8 bouts of 8 s “all-out” effort interspersed by 30 s of passive recovery
↔ IgA concentration 5 min after exercise
Fahlman et al. 2001 [49] 26 active health women (age: 24.2 ± 5.8 years) Clinical trial Cycling
SIT—3 bouts of 30 s “all out” effort interspersed by 3 min (90 s of active recovery pedaling against light load and 90 s of passive recovery)
↓ secretory IgA and ↔ IgA concentration 5 min after exercise
Walsh 1999 [50] 8 trained men (age: 25 ± 1 years) Clinical trial Cycling
HIIT –20 bouts of 1 min at 100% of V˙O2max interspersed by 2 min at 30% of V˙O2max
↔ secretory IgA and IgA concentration after exercise
Walsh et al. 1998 [51] 8 trained men (age: 25 ± 3 years) Clinical trial Cycling
HIIT—20 bouts of 1 min at 100% of V˙O2max interspersed by 2 min at 30% of V˙O2max
↑ leucocytes and neutrophil count 5 min, 1 h, 2.5 h, and 5 h after exercise; ↑ lymphocyte count immediately after exercise followed by ↓ 1 h after exercise
Hinton et al. 1997 [52] 5 men runners (age: 23.0 ± 2.5 years) Clinical trial Running
HIIT—15 bouts of 1 min at 90% of V˙O2max interspersed by 2 min of passive recovery
↓ lymphocyte function immediately after exercise
Kargotich et al. 1997 [53] 8 high performance men swimmers (age: 19.9 ± 2.2 years) Clinical trial Swimming
HIIT—15 bouts of 100 m freestyle swimming interspersed by 2 min 25 m recovery swim
↑ leucocyte and neutrophil count immediately after exercise; ↑ lymphocyte count immediately after exercise followed by ↓ 1 h, 2 h, and 2.5 h after exercise; ↑ monocyte count immediately and 30 min after exercise; ↔ eosinophil count
Gray et al. 1993 [54] 8 men triathletes (age: 31.5 ± 4.5 years) Clinical trial Running
HIIT—1 min at 100% of vV˙O2max interspersed by 1 min of active recovery until the exhaustion
↑ leucocyte and lymphocyte count immediately after exercise; ↑ granulocyte and monocyte count 6 h after exercise
Mackinnon & Jerkin, 1993 [32] 12 active health men (age: 17 to 25 years) Clinical trial Cycling
SIT—5 bouts of 1 min “all out” effort interspersed by 5 min of passive recovery
↓ secretory IgA and ↑ IgA concentration immediately after exercise
Fry et al. 1992 [55] 14 men runners (age: 18–25 years) Clinical trial Running
Treadmill HIIT—25 bouts of 1 min at one stage before that which the subject failed in the preliminary test) followed by 2 min active recovery
↓ lymphocyte proliferative response immediately after exercise
  18 men kayakists (age: 18–25 years)   Paddling
HIIT—25 bouts of 1 min at one stage before that which the subject failed in the preliminary test interspersed by 2 min of active recovery
↓ lymphocyte proliferative response immediately after exercise
Fry et al. 1992 [56] 7 men runners (age: 22.9 ± 5.6 years) Cross-over clinical trial Running
HIIT—15 bouts of 1 min at 90% of Vmax interspersed by 2 min of active recovery
↔ leucocytes, lymphocyte, neutrophil and monocyte count 5 min after exercise. ↔ the CD4+:CD8+ ratio and responsiveness of T cells to T cells mitogens
      Running
HIIT—15 bouts of 1 min at 120% of Vmax interspersed by 2 min of active recovery
↑ leucocytes count, lymphocyte, neutrophil, monocyte count 5 min after exercise. ↓ the CD4+:CD8+ ratio and responsiveness of T cells to mitogens immediately after exercise
HIIT, high intensity interval training; SIT, sprint interval training; IgA, immunoglobulin A; V˙O2max, maximal oxygen consumption; V˙O2max, velocity associated to maximal oxygen consumption; Vmax, maximal velocity achieved during the incremental test. fMLP, formyl-leucyl-methionyl-phenylalanine. ↑ significant increase; ↓ significant decrease; ↔ no significant change.
Table 2. Summarize of studies investigating the chronic effects of interval training on immune outcomes.
Study Participants Duration/Design Modality/Interval Protocol Results
Bartlett et al. 2020 [57] 10 subjects with prediabetes, 4 men (age: 71 ± 5 years) Ten weeks clinical trial Walking
HIIT—60–90 s at 80–90% of V˙O2 reserve interspersed by 60–90 s of active recovery at 50–60% of VO2 reserve until complete 20 min. Frequency: 3 times per week. Supervised: Yes
↑ neutrophil chemotaxis, mitogen stimulated ROS production and ↓ basal ROS production. ↔ neutrophil count
Toohey et al. 2020 [58] 6 breast cancer survivors (age: 60 ± 8.12 years) Twelve weeks randomized clinical trial Cycling
SIT—4 to 7 bouts of 30 s “all-out” effort interspersed by 2 min of active recovery. Frequency: 3 times per week. Supervised: Yes
↔ IgA concentration
Dorneles et al. 2019 [30] 7 sedentary obese men (age: 20 to 40 years) One-week clinical trial Running
HIIT—10 bouts of 1 min at 85–90% maximum heart rate interspersed by 75 s at 50% maximum heart rate. Frequency: 3 times per week. Supervised: No reported
↑ circulating of memory regulatory T cells and regulatory T cells
Werner et al. 2019 [31] 29 inactive health subjects, 10 men (age: 48.4 ± 6.5 years) Twenty-six weeks randomized controlled trial Running
HIIT—4 bouts of 4 min at 80–90% of heart rate reserve interspersed by 3 min at 65–70% of heart rate reserve. Frequency: 3 times per week. Supervised: No reported
↔ total leucocyte counts (lymphocyte, neutrophil and monocyte); ↑ leucocyte telomerase length (lymphocyte, granulocyte)
Khammassi et al. 2020 [59] 8 active health young adults (age: 18.9 ± 1.0 years) Nine weeks randomized clinical trial Running
HIIT—3 sets of 6 to 8 30-s bouts at 100 to 110% of Vmax and 30 s of active recovery at 50% of Vmax. Frequency: 3 times per week. Supervised: No reported
↔ total leucocyte counts (lymphocyte, neutrophil and monocyte)
Bartlett et al. 2018 [60] 12 inactive elderly subjects with rheumatoid arthritis (age: 64 ± 7 years) Ten weeks clinical trial Walking
HIIT—60–90 s at 80–90% of V˙O2 reserve interspersed by active recovery with similar duration at 50–60% of VO2 reserve until complete 20 min of session. Frequency: 3 times per week. Supervised: Yes
↑ neutrophil function
Sheykhlouvand et al. 2018 [61] 7 men canoe polo athletes (age: 24 ± 3 years) Three weeks randomized clinical trial Paddling
HIIT—6 bouts of 1 min at 100 to 130% vV˙O2peak with 1:3 work to recovery ratio. Frequency: 3 times per week. Supervised: No reported
↔ leucocyte counts
  7 men canoe polo athletes (age: 24 ± 3 years)   Paddling
HIIT—6 to 9 bouts of 1 min at 100% vV˙O2peak with 1:3 work to recovery ratio. Frequency: 3 times per week. Supervised: No reported
↔ leucocyte counts
Bartlett et al. 2017 [62] 14 inactive health adults (age: 43 ± 11 years) Ten weeks randomized clinical trial Cycling
HIIT—15 to 60 s above 90% of maximum heart rate interspersed by 45–120 s of active recovery until complete 18–25 min. Frequency: 3 times per week. Supervised: Yes
↑ neutrophil and monocyte function
Tsai et al. 2016 [63] 20 inactive health men (age: 23.0 ± 1.7 years) Six weeks randomized clinical trial Cycling
HIIT—5 bouts of 3 min at 80% of V˙O2max interspersed by 3 min of active recovery at 40% of V˙O2max. Frequency: 5 times per week. Supervised: No reported
↑ lymphocyte function
Navalta et al. 2014 [29] 12 subjects, 8 men (age: 26 ± 4 years) Three consecutive days clinical trial Running
HIIT—30 s at 100% of Vmax interspersed by active recovery with similar duration at 50% of Vmax until exhaustion. Frequency: 3 times per week. Supervised: No reported
↑ lymphocyte apoptosis
Fisher et al. 2011 [33] 8 active health men (age: 22 ± 2 years) One-week clinical trial Cycling
HIIT—4 bouts with 30 s at 90% of maximum anaerobic power interspersed by 4 min of active recovery at 15% of maximum anaerobic power. Frequency: 3 times per week. Supervised: No reported
↑ lymphocyte function
Mackinnon & Jerkin, 1993 [32] 12 active health men (age: 17 to 25 years) Eight weeks
clinical trial
Cycling
SIT—5 bouts of 1 min “all out” effort interspersed by 5 min of passive recovery. Frequency: 3 times per week. Supervised: Yes
↔ secretory IgA and IgA concentration
HIIT, high intensity interval training; SIT, sprint interval training; IgA, immunoglobulin A; V˙O2max, maximal oxygen consumption; vV˙O2max, velocity associated to maximal oxygen consumption; Vmax, maximal velocity achieved during the incremental test. ROS, reactive oxygen species; ↑ significant increase; ↓ significant decrease; ↔ no significant change.
Among the 35 included studies, the numbers of participants by IT interventions ranged from 7 [30] to 50 [45], for a total of 509 participants from both sexes. Twenty-four studies involved exclusively men, three studies involved exclusively women [49][48][58] and eight studies investigated mixed-sex samples [29][31][34][45][46][57][60][62]. Participants’ age varied from 15.5 ± 0.6 [48] to 64.0 ± 7.0 years [60]. In most studies participants were apparently healthy, with the exception of studies that involved overweight-obese men [30][38][44], elderly with rheumatoid arthritis [60] and elderly with prediabetes [57]. The training status of the participants varied from sedentary with clinical conditions to high-performance athletes.

4. Intervention Characteristics

Regarding training intervention, the included studies used a diversity of modalities and IT protocols. Most used cycling (n = 18) or running (n = 11), while some studies used walking [57][60], arm-cycling [45], paddling [55][61] and swimming [53]. Twenty-five studies involved exclusively submaximal IT protocol (i.e., HIIT), 10 studies involved exclusively maximal IT protocol (i.e., SIT), usually Wingate-based protocols (i.e., repeated 30 s “all-out” effort) and one study involved both submaximal and maximal protocols [35], and compared different rest interval mode (e.g., passive or active) for HIIT and SIT.
The intensity of HIIT protocols was prescribed and controlled based on percentage of maximal velocity achieved during incremental test (Vmax) [29][59][38][55][56], velocity associated with V˙O2max [34][54] or V˙O2peak [61], percentage of V˙O2max [43][50][51][52][63], or reserve oxygen uptake (V˙O2reserve) [57][60], percentage of HRmax [30][62] or reserve heart rate HRreserve [31], and percentage of peak power [36][42][35][44][53] or maximum anaerobic power [33]. Eleven studies prescribed SIT protocol using “all out” efforts [49][32][47][35][37][39][40][45][46][48][58]. Characteristics of IT protocols are detailed in Table 1 and Table 2.

5. Qualitative Analysis of Acute Effects of IT on Immune Outcomes

5.1. Salivary Immunoglobulin A

A qualitative description of the acute effects of IT on immune measures are presented in Table 1. Six studies verified no change on absolute salivary IgA concentration after IT [49][38][39][45][48][50], while three studies verified transitory increase lasting up to 30 min after exercise [32][47][34]. Regarding secretory rate of IgA, four studies verified no change [47][38][45][50], and two studies verified decrease after exercise [49][32]. Considering IT type, the acute decrease on IgA secretion rate was only observed after SIT [49][32], while no HIIT intervention reduced this parameter [38][45][50] (Figure 2B).
Figure 2. Illustration of time course of salivary immunoglobulin A concentration (A), salivary immunoglobulin secretory rate (B), and total leucocyte count (C) after acute interval training session.

5.2. Leucocyte Count

Ten studies verified transitory increases in total leucocyte count lasting up to 6 h after SIT [35][37][40] or HIIT [33][43][44][51][53][54][56]. One study verified no change on leucocyte count after a HIIT protocol with passive or active recovery [35]. Additionally, Fry et al. [56] reported a significant increase on leucocyte count immediately after HIIT when the high-intensity bouts were performed at 120% of Vmax, but not at 90% (Figure 2C).
Considering leucocyte subsets, nine studies showed increases on total lymphocyte counts immediately after a SIT [40][46] or HIIT session [33][43][44][51][53][54][56], while two HIIT intervention did not change lymphocyte count immediately after exercise [35][56]. Five intervention verified decrease on lymphocyte count between 30 min and 6 h after exercise [35][40][51][53]. From these, two involved SIT [35][40] and three involved HIIT [35][51][53]. Within the studies that did not observed lymphopenia during IT recovery, all involved HIIT [33][43][44][54] (Figure 3A).
Figure 3. Illustration of time course of lymphocyte (A), and neutrophil count (B) after acute interval training session.
Seven studies reported increases on neutrophil count after SIT [47][35][40] or HIIT performance [33][51][53][56]. In some studies, the increased neutrophil count occurred immediately after exercise and remained elevated between 30 min and 5 h [47][33][51], while two studies verified delayed increase in this parameter starting between 1 h and 3 h after exercise [35][40] (Figure 3B). Five studies found increases on monocyte count immediately after SIT [35] or HIIT [44][53][54][56], while two studies involving SIT [40] and HIIT [35] verified no change on this measure. Regarding mixed cell count, two studies reported acute increases on eosinophil and basophil [35][40], and one study verified increases on granulocyte count after HIIT exercise [54]. One study involving HIIT verified no change on eosinophils count [53], while the study by Wahl et al. [35] showed no change and decrease on basophils and eosinophils count after HIIT and SIT protocol, respectively.

5.3. Leucocyte Function

Five studies involving HIIT [42][33][52][55][56] reported a transitory reduction in lymphocyte function or reduced cell viability after IT performance (lasting up to 3 h) in response to in-vitro stimulation. One study found mobilization of low differentiated T cells and regulatory T cells (Treg) immediately after HIIT, in parallel with apoptosis of high differentiated T cells three hours after exercise [41]. Two studies verified transitory reduced neutrophil function after SIT [47] and HIIT [36] performance (lasting up to 30 min) in response to in-vitro stimulation (Table 1).

6. Qualitative Analysis of Chronic Effects of IT on Immune Outcomes

A qualitative description of the chronic adaptations on immune measures in response to IT is presented in Table 2. Two studies involving SIT reported no change on salivary IgA (absolute concentration or secretory rate) after training [32][58]. Three studies involving HIIT found no significant change in leucocyte count [59][31][61]. Regarding leucocyte function, one study verified increases on peripheral lymphocyte T helper subsets (i.e., memory regulatory T cell and Treg) [30] after HIIT. Three studies involving HIIT provided significant improvements on neutrophil function [57][60][62] and two studies involving HIIT [33][63] verified improvements on lymphocyte function. In contrast, a study involving three consecutive days of HIIT performed until exhaustion reported a significant increase on lymphocyte migration and apoptosis after the third day of consecutive training session [29].

7. Quality Assessment

Considering the specificity of the TESTEX scale, only 14 studies were included in this analysis and the results are shown in the Table 3. The studies achieved an average score of 4.6 from a total of 15 points. Point estimate of outcomes and exercise volume were the most reported features in the included studies. Most studies failed to report if there were, or not, adverse events associated with exercise intervention or intention to treat analysis.
Table 3. Study quality and reporting of randomized clinical trial included studies.
Reference Study Quality Score
(0–5)
Study Reporting Score
(0–10)
Total Score
(0–15)
Study Quality
Classification
1 2 3 4 5 6a 6b 6c 7 8a 8b 9 10 11 12
Khammassi et al. [59] + + + 3 + NA + 2 5 Low
Toohey et al. [58] + + + + 4 + + + + + + + 7 11 High
Wahl et al. [35] 0 + + + NA + 4 4 Low
Dorneles et al. [30] + 1 + NA + + 3 4 Low
Werner et al. [31] + + + 3 + + + + 4 7 Low
de Souza et al. [38] + + 2 + + + + 4 6 Low
Jamurtas et al. [37] 0 + NA + 2 2 Low
Sheykhlouvand et al. [61] + + 2 + NA + 2 4 Low
Bartlett et al. [62] + + 2 + NA + 2 4 Low
Krüger et al. [41] + 1 NA + 1 2 Low
Tsai et al. [63] + 1 + + + + + + + + 8 9 Fair
Turner et al. [43] 0 + + NA + 3 3 Low
Davison. [47] 0 + + + 3 3 Low
+, meet the criteria; −, do not meet the criteria; NA, not applicable.

8. Meta-Analysis

The effects of IT on immune parameters are present in Figure 4 and Figure 5. The within-group analysis found that IT significantly reduced IgA secretory rate immediately after exercise (n = 115; MD = −15.46 µg·min−1; 95%CI, −28.3 to 2.66; ∆% = −24%; p = 0.02) (Figure 4B). However, there was no significant change on absolute IgA concentration (n = 127; MD = 47.5 µg·mL−1; 95%CI, −10.6 to 105.6; ∆% = 23%; p = 0.11) (Figure 4A). There was significant increase on total leucocyte count immediately after exercise (n = 137; MD = 2.58 × 103 µL−1; 95%CI, 1.79 to 3.38; ∆% = 44%; p < 0.001) (Figure 5A). Additionally, IT promoted significant increase on lymphocyte count immediately after exercise (n = 125; MD = 1.3 × 103 µL−1;95%CI, 0.86 to 1.75; ∆% = 60%; p < 0.001) (Figure 5B), followed by significant reduction at the first recovery time point after post-exercise (30 to 180 min post-exercise) (n = 125; MD = −0.36 × 103 µL−1;−0.57 to −0.15; ∆% = −17%; p < 0.001) (Figure 5C). Substantial heterogeneity was detected in the analysis for IgA concentration (I2 = 88%; p < 0.001), IgA secretory rate (I2 = 62%; p = 0.01), leucocyte count (I2 = 80%; p < 0.001), lymphocyte count immediately after exercise (I2 = 80%; p < 0.001), and during recovery (I2 = 61%; p = 0.003).
Figure 4. Forest plot of the acute effects of interval training on absolute immunoglobulin A concentration (A) and immunoglobulin secretory rate (B). SD standard deviation, CI confidence interval, IV random effects. The green squares represent the mean difference for each dataset. The black diamonds represent the estimated overall effect.
Figure 5. Forest plot of the acute effects of interval training on total leucocytes count (A), lymphocyte count immediately after exercise (B), and lymphocyte count at first drop during recovery (C). SD standard deviation, CI confidence interval, IV random effects. The green squares represent the mean difference for each dataset. The black diamonds represent the estimated overall effect.
Subgroup analysis detected a significant effect of IT type (HIIT vs. SIT) on IgA secretory rate decrease and lymphopenia for SIT, and on absolute IgA concentration increase for HIIT (Table 4). There was a significant effect of participant sex (men vs. women) on IgA secretory rate only for women and training modality (cycling vs. running) on lymphopenia only for cycling.
Table 4. Subgroup analysis of overall effects of interval training on immune outcomes.
Outcome (Subgroup) N° of Studies MD (95% CI) p-Value Heterogeneity
I2
(%)
p-Value
IgA concentration (µg·mL−1)
IT type: SIT 5 46.98 (56.73 to 150.68) 0.37 94 <0.001
IT type: HIIT 4 39.54 (19.92 to 59.16) <0.001 0 1
Sex: men 6 65.62 (−6.43 to 137.66) 0.07 91 <0.001
Sex: women 3 −18.91 (−66.24 to 28.42) 0.43 0 0.59
Modality: cycling 5 53.22 (−33.53 to 139.96) 0.23 94 <0.001
Modality: running 4 22.07 (−17.34 to 61.47) 0.27 0 0.92
IgA secretory rate (µg·min−1)
IT type: SIT 6 −17.33 (−33.68 to −0.98) 0.03 68 0.007
IT type: HIIT 2 −7.29 (−23.95 to 9.36) 0.39 0 0.73
Sex: men 5 −13.17 (−35.03 to 8.70) 0.24 74 0.004
Sex: women 2 −19.34 (−29.11 to −9.58) <0.001 0 0.74
Modality: cycling - - - - -
Modality: running - - - - -
Leucocyte count (103 µL−1)
IT type: SIT 5 3.14 (1.83 to 4.44) <0.01 80 <0.001
IT type: HIIT 9 2.31 (1.30 to 3.32) <0.001 78 <0.001
Sex: men - - - - -
Sex: women - - - - -
Modality: cycling 9 2.40 (1.47 to 3.33) <0.001 84 <0.001
Modality: running 3 2.46 (1.30 to 3.62) <0.001 21 0.28
Lymphocyte count (103 µL−1)
IT type: SIT 3 1.62 (0.89 to 2.35) <0.001 66 0.05
IT type: HIIT 9 1.21 (0.67 to 1.74) <0.001 81 <0.001
Sex: men - - - - -
Sex: women   - - - -
Modality: cycling 8 1.17 (0.65 to 1.70) <0.001 82 <0.001
Modality: running 3 1.14 (0.67 to 1.61) <0.001 10 0.33
Lymphocyte count (103 µL−1) recovery
IT type: SIT 3 −0.51 (−0.77 to −0.26) <0.001 18 0.30
IT type: HIIT 9 −0.29 (−0.56 to 0.03) 0.03 66 0.003
Sex: men - - - - -
Sex: women - - - - -
Modality: cycling 8 −0.47 (−0.62 to −0.32) <0.001 0 0.55
Modality: running 3 0.04 (−0.63, 0.72) 0.9 85 0.001
SIT, sprint interval training; HIIT, high-intensity interval training. Significant p-values are indicated in bold.

9. Sensitivity Analysis

After sensitive analysis performance that checked outlies studies by successively removing the results of each study, changes were observed in effects of IT on absolute IgA concentration (p-value ranged from 0.001 to 0.14) and IgA secretory rate (p-value ranged <0.001 to 0.1) but not on total leucocyte count (p < 0.001), lymphocyte count immediately after exercise (p < 0.001), and during recovery (p-value ranged from <0.001 to 0.004).

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