Home Effects of 12 weeks of power-oriented resistance training plus high-intensity interval training on metabolic syndrome factors in older people with COPD
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Effects of 12 weeks of power-oriented resistance training plus high-intensity interval training on metabolic syndrome factors in older people with COPD

  • Lucia Romero-Valia , Ivan Baltasar-Fernandez , Carlos Rodriguez-Lopez , Jose Losa-Reyna , Ana Alfaro-Acha , Amelia Guadalupe-Grau , Ignacio Ara , Luis M. Alegre , Francisco J. García-García and Julian Alcazar ORCID logo EMAIL logo
Published/Copyright: March 13, 2024

Abstract

Objectives

To assess the effects of an exercise training program combining power-oriented resistance training (RT) and high-intensity interval training (HIIT) on metabolic syndrome (MetS) markers in older people with COPD.

Methods

Twenty-nine older people (66–90 years old) with COPD were randomly assigned to 12 weeks of exercise training (ET; power-oriented RT + HIIT) or a control group (CON). Waist circumference, diastolic (DBP) and systolic blood pressure (SBP), and serum fasting glucose, triglycerides and HDL cholesterol levels were assessed at baseline and after 12 weeks. Linear mixed-effects models were used to assess the effects of the intervention, and data were reported as mean and 95 % confidence interval values.

Results

Waist circumference increased in the CT group, but not in the ET group (2.0 [0.2, 3.7] vs. 1.0 [−1.3, 3.2] cm, respectively). No changes in fasting glucose (−4.1 [−10.3, 2.1] vs. −1.0 [−8.7, 6.7] mg dL−1), triglycerides (3.9 [−13.4, 21.3] vs. −13.9 [−35.6, 7.7] mg dL−1) or HDL cholesterol (1.0 [−3.4, 5.4] vs. 2.9 [−2.6, 8.4] mg dL−1) were found in the CT or ET group, respectively. The ET group exhibited decreased DBP (−5.2 [−9.5, −0.8] mmHg) and SBP (−2.7 [−22.7, −2.7] mmHg), while no changes were found in the CT group (0.3 [−3.2, 3.7] and −3.5 [−11.4, 4.5] mmHg). MetS z-score declined in ET but remained unchanged in CT (−0.88 [−1.74, −0.03] vs. 0.07 [−0.62, 0.76], respectively).

Conclusions

A 12-week exercise training program led to a reduction in blood pressure and MetS z-score in older people with COPD.

Introduction

Chronic obstructive pulmonary disease (COPD) is a disease characterized by a range of persistent respiratory symptoms and airflow limitation that can be caused by abnormalities in the airways and alveoli [1]. One of the most common causes of COPD is prolonged exposure to harmful particles or gases. In developed countries, it is estimated that around 95 % of COPD cases are caused by smoking [1]. According to the World Health Organization, COPD affects one-tenth of the world’s population and may become the third leading cause of death by 2030 [2]. Furthermore, COPD is directly related to a deterioration in the quality of life of patients [3]. Although the most common symptom of the disease is dyspnoea, there are other systemic manifestations associated with it [4]. Limitations in gas exchange may cause alterations in peripheral tissues, and the release of inflammatory mediators into the circulation can initiate or worsen numerous comorbid diseases such as cachexia, osteoporosis or metabolic syndrome (MetS) [5].

Metabolic syndrome has been defined as a set of metabolic disorders including dyslipidaemia, hypertension and insulin resistance, which are also commonly associated with central obesity. MetS is diagnosed in those patients presenting at least two or more of these cardiovascular risk factors [6]: abdominal obesity, high blood pressure, impaired fasting glucose, high triglyceride levels and low HDL cholesterol levels. A relevant proportion of COPD patients present with obesity and MetS, which in turn have a negative influence on dyspnoea and exercise tolerance [7]. These comorbidities aggravate COPD progression and increase mortality risk [8]. Therefore, the reduction of MetS factors in COPD patients may be a key therapeutic target for the improvement of COPD symptomatology and quality of life [7]. In this regard, physical exercise is an effective tool in the individual treatment of both COPD and MetS [9]. The combination of resistance and endurance exercise in the same training session (i.e., concurrent training) has been shown to be the most effective methodology for achieving improvements in strength, exercise tolerance and quality of life in COPD patients [10, 11]. On one hand, power-oriented resistance training (RT) can provide additional functional benefits over traditional RT in older people [12], and preserve muscle oxygenation levels during exercise [13]. On the other hand, both continuous endurance training and high-intensity interval training (HIIT) are equally effective in improving exercise capacity in COPD patients [14], however the intermittent nature of HIIT was found to be better tolerated by COPD patients [15]. In a previous study, we found that combining power-oriented RT and HIIT led to significant improvements in muscle function, exercise capacity, functional capacity, quality of life and systemic oxidative stress in COPD patients [16]. However, although the benefits of concurrent exercise programs on COPD patients and MetS patients are well known [16, 17], no previous studies have assessed the effects of a concurrent exercise program on MetS markers in COPD patients. Of note, an improvement in MetS markers in COPD patients may lead to an improvement in dyspnoea and exercise tolerance [7], and reductions in COPD progression and mortality risk [8].

Therefore, the main goal of this study was to investigate the effects of a 12-week concurrent exercise program combining power-oriented RT and HIIT on markers of MetS in older people with COPD. A graphical representation of the study is shown in Figure 1.

Figure 1: 
Graphical representation of the study. Key points: (1) the combination of power-oriented resistance training and high-intensity interval training might be an excellent time-efficient option to treat older people with different comorbidities. (2) This type of intervention improved mean arterial pressure, avoided an increase in waist circumference and lowered an index of metabolic syndrome in older people with chronic obstructive pulmonary disease. (3) An individualized exercise training program consisting of two 30-min sessions per week was well tolerated by older people with chronic obstructive pulmonary disease and proved to be feasible in the clinical setting.
Figure 1:

Graphical representation of the study. Key points: (1) the combination of power-oriented resistance training and high-intensity interval training might be an excellent time-efficient option to treat older people with different comorbidities. (2) This type of intervention improved mean arterial pressure, avoided an increase in waist circumference and lowered an index of metabolic syndrome in older people with chronic obstructive pulmonary disease. (3) An individualized exercise training program consisting of two 30-min sessions per week was well tolerated by older people with chronic obstructive pulmonary disease and proved to be feasible in the clinical setting.

Materials and methods

Study design

This study was a randomized controlled trial in which the participants were randomly distributed into two groups: exercise training (ET) or control (CON). Stratified randomization was used to achieve balance regarding physical function (according to the short physical performance battery) and sex. The participants assigned to the ET group completed a 12-week exercise training program that combined power-oriented RT and HIIT, while the CON group received no intervention (i.e., usual care). The participants were assessed before and after the 12-week period. The main results on the effects of the exercise intervention on COPD severity, physical performance, quality of life, muscle function, muscle size, aerobic fitness, and oxidative damage have been published by Alcazar et al. [16]. Thus, the present investigation was a secondary analysis focusing on the effects of the exercise intervention on the markers of MetS.

Participants

Prior to entering the study, the inclusion criteria for the participants were being ≥65 years old, and having stable COPD diagnosed by a pulmonologist. Exclusion criteria included having participated in an endurance and/or RT program within the last year, a short physical performance battery (SPPB) score <4 points, mini-mental state examination (MMSE) score <20 points, neuromuscular or joint injury, stroke, myocardial infarction or bone fracture in the last year, uncontrolled hypertension (>200/110 mmHg), or terminal illness. COPD severity was assessed by the BODE index, which takes into consideration the body mass index, degree of obstruction assessed by the forced expiratory volume in 1 s (FEV1) using a spirometer (Spirosoft, GE Healthcare, USA), degree of dyspnea assessed by the mMRC scale, and exercise capacity assessed by the 6-min walking distance test [18]. Included participants were randomly allocated to ET or CON groups. All participants signed a written informed consent prior to study participation. The study was performed according to the Helsinki Declaration and approved by the Ethical Committee of the Toledo Hospital (06-06-2014/71).

Metabolic syndrome factors

Metabolic syndrome factors were evaluated according to the indicators established by the National Cholesterol Education Program Adult Treatment Panel-III (NCEPT-ATP III) [12]. These included: systolic blood pressure (SBP) ≥130 mmHg and/or diastolic blood pressure (DBP) ≥85 mmHg; blood triglycerides ≥150 mg dL−1; HDL cholesterol <50 mg dL−1 in women and <40 mg dL−1 in men; and fasting glucose ≥100 mg dL−1. In addition, cut-off values for high waist circumference were used according to the American Heart Association (AHA) and the NCEPT-ATP III [12]: ≥102 cm in men and ≥88 cm in women. Participants came to the laboratory in the morning after an overnight fast and before taking any medication. Participants were asked to refrain from any strenuous physical activity and not to ingest any substance (e.g., caffeine, alcohol or nicotine) that could influence on the measurements during the previous 48 h. Blood pressure was measured at rest with the participants in the sitting position and after a 10-min rest using a digital sphygmomanometer (M2, OMROM, Japan). Two measurements of blood pressure were obtained with 2 min in between, and the average of both measurements was calculated for further analyses. Resting mean arterial pressure (MAP) was calculated as: 1/3 * SBP + 2/3 * DBP. Waist circumference was measured using an inelastic anthropometric tape with the participants in the standing position, feet together, at the end of a normal expiration, in the horizontal plane midway between the lowest ribs and the iliac crest. Blood samples were collected from an antecubital vein in serum separator tubes (BD Vacutainer®, Stockholm, Sweden) at rest, after a minimum 12-h overnight fasting period. Serum was assayed for concentrations of glucose, total triglycerides, and HDL cholesterol by using fully automated equipment (Cobas c 501, Roche Diagnostics). Finally, a sex-specific MetS z-score was calculated to assess the overall change in MetS risk factors after the exercise intervention using the following equations [19]:

Men s  MetS  z score = [ ( 40 HDLc ) / SD ] + [ ( TG 150 ) / SD ] + [ ( Glucose 100 ) / SD ] + [ ( WC 94 ) / SD ] + [ ( MAP ) 100 / SD ]

Women s  MetS  z score = [ ( 50 HDLc ) / SD ] + [ ( TG 150 ) / SD ] + [ ( Glucose 100 ) / SD ] + [ ( WC 80 ) / SD ] + [ ( MAP ) 100 / SD ]

where HDLc denotes HDL cholesterol, SD denotes standard deviation in the whole group of participants, TG denotes triglycerides levels, WC denotes waist circumference, and MAP denotes mean arterial pressure.

Exercise training program

A detailed description of the concurrent training program has been previously reported elsewhere [16, 20] (Table 1). In summary, the participants of the ET group exercised 2 days a week, on non-consecutive days, over a period of 12 weeks (i.e., 24 exercise training sessions). Each session consisted of a 5-min warm-up on a cycle ergometer (800S, Ergoline, Germany) (60–80 rpm; 40 % of peak work rate (Wpeak) achieved during a maximal exercise test), followed by power-oriented RT on the leg press and chest press exercise machines (Element+, Technogym, Italy), and endurance HIIT on a cycle ergometer. The RT exercises were selected based on the fact that older people with COPD suffer from limb muscle dysfunction [3]. In addition, power-oriented RT was included before HIIT because this order has been demonstrated to improve muscle function adaptations while cardiovascular adaptations are unaffected in older people [21]. The volume and intensity of each exercise were periodized during the training period (please see Table 1). After a 3-week period of strength and endurance conditioning, during the power-oriented RT part, the participants performed three sets of eight repetitions at the optimal load (the load at which each participant produced maximum power during a maximal force-velocity-power relationship test) for each of the exercises. Briefly, for the force-velocity-power test, the participants performed two sets of three repetitions with increasing loads until the one-repetition maximum was achieved. Mean force and velocity values during the concentric phase of each repetition were collected using a linear position transducer (T-Force System, Ergotech, Spain). The participants received strong verbal encouragement, and each repetition was performed as fast and strongly as possible. A linear regression equation was fitted to the recorded force-velocity data, and maximum muscle power and the load corresponding to maximum muscle power were obtained [22]. In the HIIT section of the exercise program, participants performed 6–10 sets of 90 s of light exercise (active recovery) at 40–45 % of Wpeak, and 30 s of vigorous exercise (high-intensity bout) at 80–90 % of Wpeak. The training sessions were supervised by two exercise scientists who provided the participants with verbal encouragement during each training session. The minimum attendance requirement was set at 80 % of the total sessions.

Table 1:

Characteristics of the concurrent training program.

12-week exercise training combining power training and high-intensity interval training
Week: 1 2 3 4 5 6 7 8 9 10 11 12
Session: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Power training
Set, n 3 3 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Repetition, n 10 12 12 12 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8
Intensity, %1RM 50 50 55 55 60 60 Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt Lopt
Rest, s 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120 120
High-intensity interval training
Repetition, n 5 5 5 5 5 5 6 7 7 7 7 7 7 7 7 7 8 9 10 10 10 10 10 10
High-intensity bout
Time, s 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
Intensity (%Wpeak) 80 80 80 80 80 80 80 80 90 90 90 90 80 80 80 80 80 80 80 80 90 90 90 90
Low-intensity bout
Time, s 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90
Intensity (%Wpeak) 40 40 40 40 40 40 40 40 45 45 45 45 40 40 40 40 40 40 40 40 45 45 45 45
  1. Wpeak, peak work-rate during incremental cardio-pulmonary exercise testing; Lopt: optimal load or the load yielding maximal power.

Statistical analysis

Continuous variables are reported as mean ± standard deviation (SD) and categorical variables (only sex) as n (%) unless otherwise stated. Normality of residuals was confirmed by Shapiro-Wilk tests and linear mixed-effects models were used to compare pre-post changes in the ET and CON groups throughout the 12-week period. Participant ID was entered into the model as a random effect, treatment (ET vs. CON) as a fixed effect, and baseline levels as a covariate. Thus, pre-post changes adjusted by baseline levels of each variable with 95 % confidence intervals (95 % CI) were obtained. Effect sizes (ES) were calculated as changes normalized to SD from all the participants. The significance level was set at α=0.05, and data were analyzed using SPSS v25 (SPSS Inc, Chicago, Illinois, USA).

Results

A total of 9 COPD outpatients completed the concurrent training program and 14 COPD outpatients completed the control period (Figure 2). Compliance for the ET participants was 93 ± 8 %. The baseline characteristics of the participants who completed the study are shown in Table 2. Five out of the 9 ET participants and 7 out of the 14 CON participants presented MetS.

Figure 2: 
Flowchart of the study.
Figure 2:

Flowchart of the study.

Table 2:

Baseline characteristics of the study participants.

Outcome Control group (n=14) Training group (n=9) p-Value
Mean ± SD Mean ± SD
Sex, F/M 2/12 3/6 0.280
Age, years 79.7 ± 6.6 74.7 ± 6.9 0.102
Body mass, kg 87.4 ± 21.6 70.5 ± 10.0 0.020
Height, m 1.63 ± 0.08 1.58 ± 0.08 0.223
BMI, kg m−2 32.6 ± 6.0 28.0 ± 2.2 0.017
FEV1 (% pred) 57.8 ± 15.3 43.1 ± 19.0 0.087
BODE index (points) 2.8 ± 2.2 2.4 ± 1.7 0.691
Resting SpO2, % 93.1 ± 3.0 91.1 ± 3.0 0.145
MMSE score (points) 25.9 ± 3.4 24.8 ± 3.3 0.427
SPPB score (points) 9.9 ± 2.6 10.9 ± 1.2 0.310
  1. BMI, body mass index; BODE, body mass index, obstruction, dyspnea, and exercise capacity; F, female; FEV1, forced expiratory volume in 1 s; M, male; MMSE, mini-mental state examination; SpO2, peripheral capillary oxygen saturation; SPPB, short physical performance battery. p values show between-group comparisons.

The effects of the concurrent training program and control period over the 12-week period are shown in Table 3. There was a main effect of time on waist circumference (+1.5 [0.1, 2.8] cm; p=0.027), although it only increased significantly in the CON group (p=0.023; ES=0.14) but not in the ET group (p=0.386; ES=0.07). No significant time-by-group interaction was found for waist circumference (p=0.507), and no main effects of time were detected for triglycerides (−4.9 [−18.8, 8.9] mg dL-1; p=0.456; ES=0.08–0.28), HDL cholesterol (+1.9 [-1.6, 5.5] mg dL−1; p=0.255; ES=0.08–0.23) or glucose (−2.5 [−7.5, 2.4] mg dL−1; p=0.290; ES=0.04–0.15) levels. In addition, no significant within-group changes were observed in any of the groups nor significant time-by-group interactions were found for triglycerides, HDL cholesterol or glucose levels (all p>0.05). A main effect of time was noted for SBP (−8.1 [−14.4, −1.7] mmHg; p=0.009) and MAP (−4.3 [−7.8, −0.8]; p=0.012) but not for DBP (−2.5 [−5.2, 0.3] mmHg; p=0.067). However, a significant drop in MAP (p=0.003; ES=0.65), DBP (p=0.014; ES=0.47) and SBP (p=0.009; ES=0.65) was found in the ET group, but not in the CON group (p=0.424, ES=0.09; p=0.889, ES=0.03; and p=0.377, ES=0.18; respectively). No significant time-by-group interactions were reported for SBP (p=0.153), DBP (p=0.056) or MAP (p=0.069). Regarding MetS z scores, no main effect of time was noted (−0.41 [-0.95, 0.14]; p=0.126). Nevertheless, a significant reduction in MetS z-score was observed in the ET group (−0.88 [−1.74, −0.03]; p=0.033; ES=0.31) but not in the CON group (−0.07 [-0.62, 0.76]; p=0.846; ES=0.02). No significant time-by-group interaction was reported in MetS z-score (p=0.087).

Table 3:

Effects of the concurrent training program and control period over the 12-week period in the training and control groups.

Variable Pre Post Changea p-Valueb p-Valuec
Mean ± SD Mean ± SD (95 % CI)
Waist circumference, cm
CON 110.6 ± 15.7 112.3 ± 15.8 2.0 (0.2, 3.7) 0.027 0.507
ET 98.1 ± 7.4* 99.4 ± 6.3 1.0 (−1.3, 3.2) 0.386
Triglycerides, mg dL−1
CON 102.9 ± 40.4 107.4 ± 53.5 3.9 (−13.4, 21.3) 0.651 0.197
ET 113.1 ± 62.7 98.3 ± 55.1 −13.9 (−35.6, 7.7) 0.185
HDL cholesterol, mg dL−1
CON 52.8 12.0 53.7 12.9 1.0 (−3.4, 5.4) 0.650 0.584
ET 51.6 ± 14.1 54.6 ± 14.9 2.9 (−2.6, 8.4) 0.279
Glucose, mg dL−1
CON 114.5 ± 26.6 111.4 ± 22.6 −4.1 (−10.3, 2.1) 0.174 0.529
ET 123.7 ± 30.7 121.2 ± 26.0 −1.0 (−8.7, 6.7) 0.802
DBP, mmHg
CON 82.1 ± 12.5 82.5 ± 12.0 0.3 (−3.2, 3.7) 0.889 0.056
ET 83.7 ± 9.1 78.4 ± 12.1 −5.2 (9.5, −0.8) 0.014
SBP, mmHg
CON 154.8 ± 23.3 150.9 ± 26.4 −3.5 (−11.4, 4.5) 0.377 0.153
ET 149.6 ± 11.8 137.6 ± 9.9 −12.7 (22.7, −2.7) 0.009
MAP, mmHg
CON 106.3 ± 14.2 105.2 ± 15.5 −1.0 (−5.5, 3.4) 0.638 0.069
ET 105.5 ± 7.7 98.0 ± 9.3 −7.6 (13.1, −2.0) 0.005
MetS z-score
CON 0.48 ± 2.76 0.55 ± 2.61 0.07 (−0.62, 0.76) 0.846 0.087
ET 0.52 ± 2.97 −0.37 ± 2.81 −0.88 (1.74, −0.03) 0.033
  1. PRE, baseline values; HDL, high density lipoprotein; DBP, diastolic blood pressure; SBP, systolic blood pressure; MAP, mean arterial pressure; MetS, metabolic syndrome; *Significant differences at baseline compared to the Control group (p<0.05). aAdjusted for baseline levels. bWithin-group time effect. cTime-by-group interaction. Bold values indicate p<0.05.

Discussion

The main results of this study were that after 12 weeks, the combination of power-oriented RT and HIIT, twice a week, achieved a significant reduction in blood pressure and prevented an increase in waist circumference in older people with COPD, while no significant effects were observed in the rest of the MetS markers. In addition, MetS z-score was diminished in the exercising participants but remained unchanged in the control group.

The prevalence of MetS is almost twice as high in COPD patients compared with non-COPD controls, and approximately 50 % of COPD patients have at least one MetS factor [23]. Moreover, when both pathologies coexist, the complications of each are amplified and COPD patients require more medication due to increased dyspnoea and reduced pulmonary capacity [23]. One of the reasons that may account for the increased prevalence of MetS in COPD patients is the elevated concentration of pro-inflammatory cytokines in the peripheral blood due to COPD-related lung inflammation. This elevation in inflammatory cytokines promotes systemic inflammation, one of the mediators of MetS [23, 24]. On the other hand, physical inactivity, as a consequence of COPD symptoms, can increase the risk of obesity and adipose tissue inflammation, augmenting the risk of MetS in COPD patients [23]. However, more studies are required to improve the understanding of the mechanisms that lead COPD patients to have an increased risk of MetS.

While the effects of physical exercise in people with COPD and MetS have been largely studied in both diseases separately, the interaction between these pathologies with a concurrent exercise training program has been poorly investigated. A previous study [25] observed an improvement in the inflammatory profile of COPD patients with MetS after a combination of pharmacological treatment (simvastatin) and RT consisting of upper- and lower-limb exercises (volume and intensity were not specified). In addition, a 4-month high-intensity exercise program combining ergometer-based cycling and walking (volume and intensity were not reported) achieved a reduction in triglycerides in COPD patients, but no other changes were reported in other cardiometabolic markers [26]. In our case, exercise training had substantial benefits in physical performance, muscle function, aerobic capacity, oxidative damage and quality of life [16]; in addition, we observed moderate positive effects in some MetS markers, while others remained unchanged. Specifically, we observed a significant decline in DBP and SBP. Reductions in both SBP and DBP were also observed by Morales-Palomo et al. [27] in MetS patients after conducting 16 weeks of HIIT (3 sessions per week; 4 sets of 4 min at 90 % of maximal heart rate plus 3 min at 70 % of maximal heart rate per session). The physiological mechanisms behind the positive effects of exercise on blood pressure have been suggested to be an improvement of endothelial function induced by nitric oxide production, the induction of pro-angiogenic pathways, and an increase in insulin sensitivity [28]. In addition, we observed a significant increase in waist circumference in the control group, while this deleterious effect was prevented in the exercising participants. Similarly, Da Silva et al. [17] observed a positive effect of RT plus HIIT on waist circumference in patients with MetS. Other studies have observed larger cardiometabolic benefits derived from the combination of RT and HIIT on MetS markers in patients with MetS alone [17, 29]. The different findings reported by these investigations may be the result of differences in the exercise dose. For example, in the current study, the main part of the exercise sessions consisted of ∼10 min of power-oriented RT plus ∼10 min of HIIT at the beginning of the exercise program, which progressed to ∼12–15 min of power-oriented RT plus ∼20 min of HIIT at the end of the exercise program. In contrast, other studies finding broader benefits derived from exercise on MetS factors included higher weekly frequency and longer exercise sessions [29]. Thus, it is possible that more frequent and longer exercise sessions are necessary to achieve greater metabolic benefits. For example, a reduction in obesity has been reported to be necessary to impact positively on MetS factors [7], which may be compatible with the necessity of more frequent and longer exercise sessions to achieve a higher energy expenditure. Nevertheless, it must be considered that the participants of the current study were older people with COPD, while the studies showing broader effects of physical exercise on MetS did not include older people with COPD. In this regard, a multidisciplinary pulmonary rehabilitation (including exercise, nutrition and education) has been suggested to be the most appropriate intervention for COPD [30]. This type of intervention has also been suggested to be appropriate to improve cardiovascular risk factors such as high blood pressure and high cholesterol levels [31, 32]. Thus, the inclusion of strategies targeting changes in nutrition and lifestyle is recommended for better management of MetS factors in older people with COPD. Of note, the current study was conducted in a hospital setting, and the exercise training program was conceived to be affordable and well-tolerated by older people with COPD; perhaps longer exercise sessions or a higher weekly frequency would have produced a higher number of dropouts. In this regard, it is important that the exercise dose provided can be repeated over time, and perhaps a more prolonged exercise intervention would have improved all MetS markers without the need to increase exercise volume or weekly frequency. These aspects merit investigation in future studies.

Finally, it is important to note that the exercising participants of the current study, apart from the effects reported in the current manuscript, experienced relevant benefits in physical performance, muscle function, exercise tolerance and quality of life [16] that were maintained after 10 months of detraining [20]. Therefore, despite the lack of benefits observed in some MetS factors (glucose, triglycerides and HDL cholesterol), the applied exercise program achieved clinical improvements in other important outcomes for healthy aging in COPD [33]. This is particularly important as having mobility limitations or frailty is a risk factor for MetS in older people [34]. Thus, improving physical performance and muscle function may potentially reduce the risk of MetS in the long term, which deserves to be investigated.

Among the limitations of the current study, the sample size was relatively small. Of note, older people with COPD are frequently reluctant to participate in exercise programs. The main barriers that COPD participants usually report are difficulties with transportation, mobility, distance and location of programs, which are more likely to affect the participants involved in the exercise program [35]. In addition, patients with COPD can experience disease exacerbations that impede them from attending exercise sessions. Therefore, future studies should test the feasibility and efficacy of this kind of exercise training performed at home, while ensuring the safety of the participants. Finally, only approximately half of the participants presented with MetS; thus, it is possible that the observed effects of exercise on MetS factors would have been greater if all the participants had presented with MetS. In any case, according to MetS z-score values, the participants of the current study were not metabolically healthy.

Conclusions

A 12-week exercise program combining power-oriented RT and HIIT decreased MetS z-score and blood pressure in older people with COPD and prevented the increase in waist circumference observed in the older adults with COPD who received usual care. No effects were noted in serum glucose, triglycerides, and HDL cholesterol levels. Different exercise parameters (e.g., higher weekly frequency and longer exercise sessions) or a longer intervention period may be required to achieve greater metabolic benefits.


Corresponding author: Julian Alcazar, GENUD Toledo Research Group, Faculty of Sports Sciences, Universidad de Castilla-La Mancha, Toledo, Av. Carlos III S/N – 45071, Spain; CIBER on Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III, Madrid, 28029, Spain; and Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Junta de Comunidades de Castilla-La Mancha (JCCM), Toledo, 45071, Spain, E-mail:

  1. Research ethics: The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and was approved by the Ethical Committee of the Toledo Hospital (06-06-2014/71).

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors were involved in data collection, analysis, writing and revision of the manuscript, and approved the final version submitted.

  4. Competing interests: The authors declare no conflict of interests.

  5. Research funding: This work was supported by the CIBER – Consorcio Centro de Investigación Biomédica en Red – (CB16/10/00456 and CB16/10/00477), Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación, and Unión Europea – European Regional Development Fund.

  6. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-11-18
Accepted: 2024-01-23
Published Online: 2024-03-13

© 2024 the author(s), published by De Gruyter on behalf of Shangai Jiao Tong University and Guangzhou Sport University

This work is licensed under the Creative Commons Attribution 4.0 International License.

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