Abstract
This study determined the effect of inspiratory muscle training (IMT), a non-pharmacological treatment on pulmonary function, inspiratory muscle strength and autonomic modulation measured by heart rate variability in obese young adults. The study hypothesized that IMT improves inspiratory muscle strength and enhances autonomic modulation in obese young adults. Nineteen obese young adults (body mass index (BMI) ≥ 25 kg/m², according to the Asian-Pacific cutoff points), aged 18–25 years, were assigned to either a control group (n = 9) or an inspiratory muscle training (IMT) group (n = 10). The IMT group underwent a training load of 55% of maximum inspiratory pressure (MIP) and the control group had no load. Both groups performed 30 breaths twice a day, 5 days/week for 4 weeks. IMT load was readjusted weekly. Pulmonary function, inspiratory muscle strength and heart rate variability (HRV) were measured at baseline, and weeks 2 and 4. By week 2, inspiratory muscle strength was significantly improved in the IMT group (p < 0.05). The low-frequency/high-frequency (LF/HF) ratio was also reduced, suggesting improved sympathovagal balance. These changes indicate potential cardiovascular benefits of IMT in this population. However, no differences in pulmonary function or inspiratory muscle endurance were found between the groups. These findings suggested that IMT improves heart rate variability and increases inspiratory muscle strength in obese young adults.
Introduction
Obesity has become a serious public health problem in all age groups, and the incidence is now rising in young adults [1]. The condition itself exerts numerous detrimental effects on the respiratory system, leading to issues such as dyspnea, obstructive sleep apnea syndrome (OSAS) [2], chronic obstructive pulmonary disease (COPD) [3] and asthma [4]. Impaired respiratory function significantly elevates mortality and morbidity rates in individuals with obesity [5]. Previous studies have reported that increased BMI is associated with diminished pulmonary function, as demonstrated by a reduction in forced vital capacity (FVC) and forced expiratory volume in one second (FEV1) [6,7]. Furthermore, obesity adversely affects respiratory muscle performance by reducing respiratory muscle endurance and inspiratory muscle strength, as indicated by a decrease in maximal voluntary ventilation (MVV) and maximum inspiratory pressure (MIP), respectively [8,9]. Obesity can affect respiratory functions via several mechanisms: i) mechanical changes, via the excessive accumulation of adipose tissue deposited on and around respiratory organs, and ii) systemic inflammation as shown by an increase in numerous inflammatory cytokines, which are produced by adipocytes [10]. Fat deposition in the chest wall and abdominal cavity leads to a reduction in the movement of the diaphragm and chest wall compliance, resulting in limited lung ventilation, increased breathing workload, decreased respiratory muscle strength and increased respiratory muscle fatigue [11]. Moreover, obesity has been related to sympathovagal imbalance or dysregulation of autonomic function, as characterized by decreased parasympathetic and increased sympathetic activities [12]. A decline in lung function and sympathovagal imbalance have been linked to increased cardiovascular risk [13,14]. Therefore, alternative therapeutic strategies that can improve respiratory function and sympathovagal balance in the obese condition may provide beneficial effects regarding respiratory performance, cardiovascular function and quality of life in young adults with obesity.
It is well established that IMT is a practical, minimally invasive technique that can be performed at home [15], enhances not only respiratory muscle strength, but also respiratory muscle endurance in various populations [16–18]. Previous studies showed that long-term IMT for 12 weeks improved MIP and MVV in morbidly obese individuals [17] and improved autonomic modulation in patients with COPD [19]. Interestingly, a recent study showed that a 4-week period of IMT intervention significantly improved both inspiratory muscle strength and functional fitness by increasing the 6 minute walk distance in obese and overweight adults [20]. Although IMT has shown benefits across various populations, its effectiveness may differ among subgroups of obese young adults, depending on factors such as baseline autonomic function, degree of obesity, and presence of comorbid conditions. Additionally, a 4-week IMT intervention conferred beneficial results on cardiac autonomic modulation by enhancing sympathovagal balance in elderly women [21,22]. Although previous studies have demonstrated the beneficial effects of IMT on autonomic function, these findings were primarily reported in patients with heart failure or other chronic conditions [23,24]. Furthermore, while IMT improves functional capacity and autonomic regulation, it is not associated with significant weight reduction. For instance, a previous study reported no significant changes in body weight following IMT in heart failure patients [23]. Nevertheless, unmeasured weight fluctuations during the intervention period may act as potential confounders, particularly in HRV-related outcomes. To date, there is limited research on the autonomic effects of short-term IMT in obese young adults, despite their elevated cardiometabolic risk and the well-established association between obesity and reduced heart rate variability (HRV). Our study aims to address this gap by investigating whether a short-duration IMT program can improve sympathovagal balance in this specific population. Therefore, the current study aimed to test the hypothesis that a 4-week IMT program increases respiratory muscle strength and improves sympathovagal balance in young obese individuals.
Materials and methods
Study design
This study was an experimental design with age- and gender-matched pairs. The methodology was reviewed and approved by the Human Research Ethics Committee at Chiang Mai University’s Faculty of Associated Medical Sciences (Approval No. AMSEC-62EX-052) in accordance with the Declaration of Helsinki. Prior to participation, all individuals provided written informed consent. All procedures adhered to applicable standards and regulations. Participants were recruited from 15 October 2019–15 August 2020 via a public advertisement.
Sample size determination
The sample size analysis was calculated using G*Power software, using data from our pilot study involving 10 obese participants. In the control and IMT groups of that pilot trial, the mean MIP was 100 and 130 cmH2O, respectively (pooled standard deviation: 30 cmH2O). Using a power of 0.8, a two-sided alpha level of 0.05, and an effect size 0.3, a minimum sample size of 20 participants was required.
Study participants
Twenty-two obese participants (BMI ≥ 25 kg/m², classified according to the Asian-Pacific cutoff points) [25], aged between 18 and 25 years, were included in this study. Participants who smoked, had underlying cardiopulmonary, neurological, or musculoskeletal diseases, or were unable to follow the protocol were excluded (n = 2). All participants completed baseline assessments of body composition, body mass, height, waist and hip circumference, pulmonary function, inspiratory muscle strength and cardiovascular autonomic function. After baseline data collection, eligible participants were randomly assigned to either the control group (Con, n = 10) or the inspiratory muscle training group (IMT, n = 10), matched by sex, age, and initial BMI. Assessments were repeated after 2 and 4 weeks of intervention. However, one male in the control group contracted COVID-19 during the intervention and withdrew due to illness, leaving 19 obese young adults who completed the study (Fig 1).
Fig 1. The experimental protocol of the study. IMT, inspiratory muscle training.
Inspiratory muscle training
The IMT group followed a 4-week inspiratory muscle training (IMT) protocol using the POWERbreathe device (Gaiam, UK) at 55% of MIP, with the load adjusted weekly to maintain this percentage. The POWERbreathe device has been demonstrated to provide reliable and valid measurements in previous clinical trials involving inspiratory muscle training. All assessments were conducted by trained assessors following standardized protocols to minimize operator variability. A training intensity of 55% MIP was selected based on prior research demonstrating that this level induces improvements in inspiratory strength and functional performance over short durations [20]. The control group did not undergo any load. Both groups performed the program independently at home, completing 30 inspiratory exercises (5 sets of 6 breaths with 2 minutes rest between sets), twice daily, 5 days per week for 4 weeks. This protocol was chosen based on previous studies demonstrating improvements in inspiratory muscle strength and functional fitness [20]. Participants in the IMT group were instructed to maintain a daily training log, recording the number of sessions completed each day. In addition, weekly phone check-ins were conducted by research staff to encourage adherence and verify compliance.
Anthropometrics
Body mass and composition were measured using an electrical impedance device (Tanita BC-418, Tokyo, Japan), while height was measured with a stadiometer. BMI was calculated by dividing body mass (kg) by height squared (m²), with a cutoff of 25 kg/m² for Asian populations [25]. Waist circumference was measured at the midpoint between the last rib and the iliac crest, and hip circumference was measured around the widest part of the buttocks [26].
Pulmonary function
Pulmonary function tests, including FVC, FEV1, and FEV1/FVC ratio (expressed as percentages), were measured using a CHESTGRAPH HI-105 spirometer (Chest MI, Tokyo, Japan). The spirometer was calibrated daily using a 3-liter syringe according to ATS/ERS recommendations to ensure measurement accuracy [27], and the highest of three trials was used for data analysis.
Maximal voluntary ventilation
MVV, indicating respiratory muscle endurance [28], was measured using a CHESTGRAPH HI-105 spirometer (Chest MI, Tokyo, Japan) following ATS/ERS protocols [29]. Participants inhaled and exhaled as quickly and deeply as possible for 12–15 seconds while seated. MVV values were expressed in L/min and as a percentage of predicted reference values.
Inspiratory muscle strength
MIP, representing inspiratory muscle strength, was measured using a MicroRPM® device (MICRO Medical®, UK) following ATS/ERS protocols [29]. They performed maximal inspiratory efforts through a mouthpiece connected to the device, holding each effort for 1 second. The test was repeated three times, with the highest reading recorded for MIP. Measurements were taken while participants were seated.
Heart rate variability analysis
Heart rate variability (HRV) is a clinical tool used to evaluate the balance between sympathetic and parasympathetic (vagal) modulation. All HRV recordings were obtained using the SEER Light Holter system, which is widely used in cardiovascular research and paired with validated MARS software version 7 for ECG analysis [30,31]. Fast-Fourier transform analysis was employed to assess both time and frequency domains. Time-domain measures included average heart rate, R-R intervals (NN), SDNN, SDANN, ASDNN, pNN50, and rMSSD. Frequency-domain analysis examined total power (0–0.4 Hz), high-frequency power (HF), low-frequency power (LF), and very-low-frequency power (VLF). All power spectral densities were reported in absolute units (ms²) to quantify autonomic nervous system activity.
Statistical analysis
Data were expressed as Mean ± SD and analyzed using SPSS version 22.0 (IBM SPSS Statistics, IBM Corp., USA). The Shapiro–Wilk test assessed normality. Independent t-tests (and a chi-squared test for gender) were used to compare general characteristics between groups. Pulmonary function, MVV, MIP, and HRV changes from baseline to each time point were analyzed using 2 × 3 mixed model repeated measures ANOVA. Time (baseline, week 2, week 4) was the within-subject factor, and group (Control, IMT) was the between-subject factor. Post-hoc Bonferroni correction was applied for pairwise comparisons when interactions were significant. Statistical significance was set at p < 0.05.
Results
A total of 22 obese young adults were recruited for this study, but two individuals declined to participate. Additionally, one was withdrawn from the intervention as he had a cold during the second follow up. Therefore, 19 obese young adults participated in this study. Although one participant withdrew due to illness, the remaining 19 participants still provided sufficient statistical power (estimated > 0.78) for detecting between-group differences in MIP, based on our pilot study and GPower analysis. Based on the log data, adherence to the IMT protocol was over 90% for all participants. There were no significant differences in age, height, body mass, BMI, waist circumference, hip circumference, waist-to-hip ratio, percentage of total body fat and truncal fat between the control and IMT groups, as summarized in Table 1.
Table 1. General characteristics of study population.
| Parameters | Control (n = 9) |
IMT (n = 10) |
p-value |
|---|---|---|---|
| Age (years) | 20.33 ± 2.00 | 20.00 ± 1.05 | 0.295 |
| Gender (male/female) | 5/4 | 6/4 | 0.998 |
| Height (m) | 1.69 ± 8.91 | 1.72 ± 8.72 | 0.267 |
| Body mass (kg) | 90.35 ± 10.73 | 95.23 ± 10.65 | 0.652 |
| BMI (kg/m2) | 31.62 ± 4.44 | 32.14 ± 5.54 | 0.679 |
| Waist circumference (cm) | 114.39 ± 15.05 | 116.95 ± 8.37 | 0.155 |
| Hip circumference (cm) | 105.67 ± 7.51 | 102.95 ± 4.06 | 0.600 |
| Waist-to-hip ratio | 0.91 ± 0.08 | 0.87 ± 0.08 | 0.917 |
| Total body fat (%) | 36.50 ± 11.62 | 35.40 ± 10.28 | 0.834 |
| Truncal fat (%) | 38.04 ± 11.87 | 36.62 ± 10.73 | 0.858 |
Data are represented as mean ± SD.
Effects of inspiratory muscle training on lung function, respiratory muscle endurance and inspiratory muscle strength in obese young adults
All participants underwent lung function and inspiratory muscle strength testing. Lung function was assessed using spirometry. The results demonstrated that there were no significant differences in FVC, FEV1, FEV1/FVC ratio, %FVC, %FEV1, MVV, and %MVV between periods (baseline vs. weeks 2 vs. week 4) and groups (control vs. IMT), as shown in Table 2.
Table 2. Lung function prior to and following the 2 and 4-week intervention periods.
| Parameters | Control group | IMT group | Mixed ANOVA | |||||
|---|---|---|---|---|---|---|---|---|
| Baseline | Week 2 | Week 4 | Baseline | Week 2 | Week 4 | p. Inter | ES (partial η2) |
|
| FVC (L) | 3.54 ± 0.97 | 3.48 ± 0.86 | 3.49 ± 0.95 | 4.03 ± 0.95 | 4.06 ± 1.06 | 4.08 ± 1.01 | 0.595 | 0.063 |
| FVC % | 94.05 ± 13.78 | 92.98 ± 21.96 | 89.37 ± 12.43 | 96.80 ± 11.51 | 102.35 ± 12.81 | 99.16 ± 17.41 | 0.457 | 0.093 |
| FEV1 (L) | 2.98 ± 0.85 | 2.94 ± 0.78 | 3.01 ± 0.80 | 3.53 ± 0.81 | 3.57 ± 0.91 | 3.66 ± 0.80 | 0.650 | 0.052 |
| FEV1% | 78.24 ± 15.46 | 79.22 ± 21.27 | 78.41 ± 14.65 | 87.34 ± 9.83 | 88.42 ± 12.26 | 87.67 ± 13.15 | 0.998 | 0.001 |
| FEV1/FVC (%) | 84.45 ± 10.06 | 85.65 ± 9.45 | 88.26 ± 10.63 | 88.02 ± 4.85 | 88.39 ± 4.62 | 88.32 ± 4.67 | 0.423 | 0.102 |
| MVV (L) | 91.76 ± 35.93 | 91.16 ± 23.62 | 88.73 ± 20.94 | 89.80 ± 31.45 | 95.21 ± 31.13 | 97.69 ± 20.68 | 0.455 | 0.094 |
| MVV % | 65.72 ± 14.82 | 69.13 ± 12.78 | 64.71 ± 12.25 | 60.74 ± 16.60 | 63.93 ± 13.66 | 65.69 ± 11.55 | 0.306 | 0.194 |
FVC: forced vital capacity; %FVC: percentage of predicted forced vital capacity; FEV1: forced expiratory volume in one second; %FEV1: percentage of predicted forced expiratory volume in one second; MVV: maximum voluntary ventilation; %MVV: percentage of predicted maximum voluntary ventilation; p. Inter: p value of interaction effect from mixed ANOVA; ES: effect size; η2: eta squared.
Data are represented as mean ± SD.
Interestingly, the enhancement of MIP was found in the IMT group at week 2 and week 4 after intervention when compared with control group and increase from baseline (Fig 2). The separate analyses of repeated measures ANOVA and independent t-test are presented in the supporting information.
Fig 2. The effect of inspiratory muscle training (IMT) on maximal inspiratory pressure (MIP, cmH₂O) following the 2- and 4-week intervention periods (Time, weeks). Data are represented as mean ± SE.
* Differences from baseline were analyzed using repeated measures ANOVA with Bonferroni’s post-hoc test. † Differences from the control group were analyzed using independent t-test.
Effects of inspiratory muscle training on heart rate variability in obese young adults
The present study found that the time-domain measures, including SDNN, SDANN, ASDNN, and rMSSD, did not differ significantly for any factor (time or group). Interestingly, the IMT group showed a significant reduction in the LF/HF ratio at weeks 2 and 4 after the intervention (p < 0.05), as shown in Table 3. This decrease suggests a potential improvement in sympathovagal balance, although its clinical significance remains uncertain.
Table 3. Parameters of heart rate variability in the control group and obese young adults following the 2 and 4-week intervention period.
| HRV Parameters |
Control group | IMT group | Mixed ANOVA | |||||
|---|---|---|---|---|---|---|---|---|
| Baseline | Week 2 | Week 4 | Baseline | Week 2 | Week 4 | p. Inter | ES (partial η2) |
|
| Time domain | ||||||||
| SDNN (ms) | 149.55 ± 27.45 | 144.44 ± 34.96 | 141.22 ± 33.68 | 152.70 ± 27.10 | 147.00 ± 18.01 | 132.80 ± 31.52 | 0.425 | 0.101 |
| SDANN (ms) | 136.33 ± 28.32 | 130.67 ± 36.06 | 128.55 ± 29.91 | 142.00 ± 29.39 | 138.50 ± 22.61 | 132.14 ± 25.55 | 0.597 | 0.076 |
| ASDNN (ms) | 68.11 ± 17.56 | 66.00 ± 18.87 | 64.33 ± 21.27 | 64.30 ± 12.15 | 61.30 ± 9.64 | 61.40 ± 12.58 | 0.928 | 0.009 |
| rMSSD (ms) | 39.77 ± 9.44 | 37.67 ± 9.46 | 36.55 ± 11.41 | 42.63 ± 11.66 | 39.90 ± 9.90 | 41.30 ± 13.57 | 0.846 | 0.021 |
| Frequency domain | ||||||||
| LF (ms2) | 27.58 ± 9.22 | 27.58 ± 10.29 | 26.63 ± 10.04 | 25.60 ± 5.88 | 24.24 ± 4.82 | 24.32 ± 5.28 | 0.865 | 0.018 |
| HF (ms2) | 18.07 ± 5.80 | 17.49 ± 6.01 | 16.59 ± 7.35 | 18.95 ± 4.83 | 17.96 ± 4.88 | 18.28 ± 5.69 | 0.789 | 0.029 |
| LF/HF ratio | 1.53 ± 0.19 | 1.58 ± 0.19 | 1.69 ± 0.35 | 1.47 ± 0.20 | 1.32 ± 0.12* | 1.28 ± 0.17* | 0.017 | 0.421 |
SDNN, standard deviation of all normal sinus R-R intervals in the entire 24-h recording; SDANN, standard deviation of all averaged normal sinus R-R intervals for all 5-min segment in the 24-h recordings; ASDNN, average of the standard deviations of all R-R intervals for all 5-min segments in the 24-h recordings; rMSSD, root mean square of the mean of the squared differences of two consecutive R-R intervals; LF, low frequency power; HF, high frequency power; IMT, inspiratory muscle training. p. Inter: p value of interaction effect from mixed ANOVA; ES: effect size; η2: eta squared.
Data are represented as mean ± SD.
*p < 0.05 difference between groups.
Discussion
In this study, we demonstrated that 4 weeks of IMT effectively improved both the HRV and inspiratory muscle strength, as indicated by a decrease in the LF/HF ratio and an increase in MIP in obese young adults. However, IMT did not mitigate the negative effects of obesity on lung function parameters (FVC, FEV1, and FEV1/FVC) and inspiratory muscle endurance (MVV).
A previous study has shown that 4–12 weeks of intervention may be an appropriate duration for respiratory muscle training [32]. Although 4 weeks of IMT improved FVC, FEV1 and MVV in athletes and non-athletes [33,34], these beneficial effects were not observed in overweight and obese adults [20]. Consistent with those findings, 4-weeks of IMT in our study did not attenuate the negative effect of obesity on the pulmonary function parameters, which could be due to the changes in structural and mechanical properties caused by excessive fat accumulation within the thoracic, abdominal cavities and upper airways. The excessive fat accumulation in those compartments could alter the mechanical properties of the lungs and chest wall by reducing their compliance, which could be reversed by weight loss [35]. In addition, a previous study reported that 12 weeks of IMT in morbidly obese individuals enhanced only forced inspiratory volume in one second (FIV1) and reduced extra-thoracic obstruction. [17]. Although longer IMT durations (8–12 weeks) have demonstrated more substantial improvements in pulmonary function, recent studies have shown that even a 4-week protocol can significantly enhance inspiratory muscle strength and sympathovagal balance in overweight and elderly populations [20,22,36]. Therefore, the short training period in the present study might not be enough time to see any significant effects on pulmonary function in these obese participants. Future studies should compare different IMT durations and intensities to identify optimal training regimens. Additionally, the effect of a combination of a short period of IMT intervention with weight loss on dynamic lung function requires further elucidation. As reported previously, respiratory muscle endurance training (REMT) with a load of 60–80% of MVV for 3–4 times per week could improve MVV in obese patients [37]. However, the current study used a different method, guided by a previous study [20] by setting 55% of MIP as the training intensity for 4 weeks. This may explain why we did not observe the significant improvements in this parameter. Thus, these findings suggested that obese subjects need more extended periods of time and training intensity to improve pulmonary function and respiratory muscle endurance. On the contrary, the effects of the training were observed in the IMT group at week 2 and week 4 which is consistent with previous studies [20,24].
To our knowledge, this study is the first to examine the effects of a 4-week IMT program in obese young adults on HRV. Previous studies found that obese populations had changes in cardiac autonomic modulation, as indicated by increased sympathetic activity and decreased vagal tone [38,39]. In our study, the time domain including SDNN, SDANN, ASDNN and rMSSD did not change after the IMT program in either group, which is consistent with previous reports [30,40]. Although the LF/HF ratio significantly decreased following IMT, time-domain markers such as rMSSD and SDNN did not show significant changes. Therefore, the observed improvement may reflect enhanced sympathovagal balance rather than a definitive increase in vagal tone. While prior research has demonstrated that IMT can improve cardiac autonomic modulation, these findings have primarily been observed in clinical populations with chronic conditions [22,19,41]. Evidence supporting such effects in obese young adults remains limited. Therefore, although the significant reduction in the LF/HF ratio in this study suggests a possible improvement in sympathovagal balance, the lack of changes in time-domain HRV parameters and variability in prior findings [30,40] warrant cautious interpretation. Moreover, while the observed improvements in inspiratory muscle strength and LF/HF ratio were statistically significant with moderate effect sizes, the clinical significance of these changes remains to be confirmed. Further studies are needed to determine whether such changes translate into measurable functional or cardiovascular benefits in obese young adults. The lack of changes in time-domain HRV measures (SDNN, SDANN, ASDNN, rMSSD) after the 4-week IMT program in obese young adults could be attributed to several factors. First, the short duration of the intervention may not have been sufficient to induce significant autonomic adaptations. Second, the pre-existing autonomic imbalance in obese individuals, characterized by increased sympathetic activity and reduced vagal tone, may require longer or more intensive interventions to show improvements. Additionally, IMT primarily targets respiratory muscles, and its effects on cardiac autonomic modulation may be more gradual or indirect. Individual variability in response to IMT and the potential insensitivity of time-domain measures to subtle autonomic changes may have further contributed to the lack of observed improvements in HRV.
A recent systematic review demonstrated that an IMT program at an intensity of 30% MIP, for 7 sessions per week for 8 weeks resulted in decreased cardiac sympathetic modulation (LF) and increased parasympathetic modulation (HF) in patients with hypertension, heart failure, and diabetes mellitus [41]. Rodrigues and colleagues demonstrated that 50% of MIP for 4 weeks promoted inspiratory muscle strength, increased HF and decreased LF/HF ratio in elderly women [22]. In the present study, with only 4 weeks of IMT with a load 55% of MIP, we did observe the significant improvements of HRV as indicated by a reduction in LF/HF ratio at week 2 and week 4. Although a longer IMT duration may yield more robust outcomes, our findings demonstrate that a 4-week protocol is sufficient to elicit moderate-to-large improvements in inspiratory muscle strength and sympathovagal balance. This is consistent with previous studies that showed benefits of short-term IMT [20,22,42,43]. However, future studies should compare different durations to determine the optimal training length. The positive effects of IMT on HRV could be explained by IMT inducing the alterations in respiratory patterns, which are a key modulator of ANS as well as other reflex control systems, includes baroreceptors and chemoreceptors [44,45] and consequently enhance cardiac vagal modulation [30,46,47]. Baroreflex sensitivity, which influences HRV through central autonomic integration, may have contributed to the reduction in LF/HF ratio. Although not directly assessed in this study, this mechanism warrants consideration in future research. However, the results of a recent study reveal that IMT did not change baroreflex sensitivity in healthy elderly women [36]. Thus, the beneficial effects of IMT on HRV, the physiological mechanisms involved in the autonomic adaptations require further investigation.
Due to the non-randomized design, there is a potential for selection bias and unbalanced distribution of unmeasured confounding factors, despite matching participants by age and sex. Moreover, although participants were matched for these variables, other unmeasured confounders such as physical activity level, metabolic status, or systemic inflammation may have been unevenly distributed and could have influenced the outcomes. Several limitations should be considered. First, although the sample size was calculated based on power analysis, the relatively small number of participants may limit the generalizability of the findings. Future studies with larger and more diverse populations are required to validate and extend these results. Second, the small sample size, subgroup analyses were not feasible. As individual variability in physiological responses to IMT may exist, future studies with larger cohorts are needed to explore differential effects based on sex, baseline fitness, or autonomic status. Third, the control group did not undergo sham or low resistance breathing training, raising the possibility of placebo effects in the IMT group. Including a sham training group in future studies would help control expectancy bias. Fourth, although participants were instructed to maintain their usual lifestyle habits, potential confounding factors such as physical activity levels and dietary intake were not controlled. This limitation should be considered when interpreting the observed changes in autonomic function. In particular, the lack of monitoring of participant’s physical activity levels and body weight changes during the intervention period may have introduced unmeasured confounding especially concerning HRV and respiratory outcomes. Additionally, physical activity, which was not formally assessed in this study, may contribute to the variability in HRV and inspiratory muscle strength outcomes. Regular exercise is known to promote vagal modulation, improve sympathovagal balance, and enhance respiratory muscle performance through neuromuscular adaptation [48,49]. Therefore, uncontrolled variation in participants’ physical activity levels may have influenced the results and should be addressed in future studies. Lastly, while the reduction in LF/HF ratio suggests enhanced vagal modulation, other physiological mechanisms such as altered respiratory patterns, baroreflex sensitivity, and chemoreceptor-mediated reflexes may also contribute to the observed changes in HRV. These mechanisms warrant further investigation to fully understand the autonomic effects of IMT.
Conclusion
In summary, a 4-week inspiratory muscle training program modestly improved inspiratory muscle strength and reduced the LF/HF ratio in obese young adults. However, further studies are warranted to determine whether these changes translate into clinically meaningful benefits.
Supporting information
(PDF)
The IMT group showed a significant effect of time on MIP (p = 0.004), while the control group did not (p = 0.103). Partial eta squared (η²) indicates a large effect size in the IMT group.
(PDF)
Significant increases were observed in the IMT group from week 0 to week 2 (p = 0.03) and week 0 to week 4 (p = 0.008). No significant changes were found in the control group.
(PDF)
At baseline (Week 0), there was no significant difference in MIP between groups (p = 0.15). However, significant between-group differences were observed at week 2 (p = 0.02) and week 4 (p = 0.004), with the IMT group showing greater MIP gains.
(PDF)
Data Availability
All relevant data are within the paper and its Supporting information files.
Funding Statement
This work was supported by a research grant from Faculty of Associated Medical Sciences Chiang Mai University (to P.S.); the Distinguished Research Professor from the National Research Council of Thailand (N42A660301 to S.C.C.); the Research Chair Grant from the National Research Council of Thailand (N42A670594 to N.C.); and the Chiang Mai University Center of Excellence Award (to N.C.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Ellison-Barnes A, Johnson S, Gudzune K. Trends in obesity prevalence among adults aged 18 through 25 years, 1976-2018. JAMA. 2021;326(20):2073–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Glicksman A, Hadjiyannakis S, Barrowman N, Walker S, Hoey L, Katz SL. Body fat distribution ratios and obstructive sleep apnea severity in youth with obesity. J Clin Sleep Med. 2017;13(4):545–50. doi: 10.5664/jcsm.6538 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Fuller-Thomson E, Howden KEN, Fuller-Thomson LR, Agbeyaka S. A strong graded relationship between level of obesity and COPD: findings from a national population-based study of lifelong nonsmokers. J Obes. 2018;2018:6149263. doi: 10.1155/2018/6149263 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sharma V, Cowan DC. Obesity, inflammation, and severe asthma: an update. Curr Allergy Asthma Rep. 2021;21(12):46. doi: 10.1007/s11882-021-01024-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zammit C, Liddicoat H, Moonsie I, Makker H. Obesity and respiratory diseases. Int J Gen Med. 2010;3:335–43. doi: 10.2147/IJGM.S11926 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bhirange S, Pillai C, Meshram K. Assessment of pulmonary functions in obese young adults. Indian J Forensic Med Toxicol. 2021;14:6420–5. [Google Scholar]
- 7.Carpio C, Santiago A, García de Lorenzo A, Alvarez-Sala R. Changes in lung function testing associated with obesity. Nutr Hosp. 2014;30(5):1054–62. doi: 10.3305/nh.2014.30.5.8042 [DOI] [PubMed] [Google Scholar]
- 8.Arena R, Cahalin LP. Evaluation of cardiorespiratory fitness and respiratory muscle function in the obese population. Prog Cardiovasc Dis. 2014;56(4):457–64. doi: 10.1016/j.pcad.2013.08.001 [DOI] [PubMed] [Google Scholar]
- 9.Shah H, Mali S, Ranga S, Jadhav C, Rukadikar A, Singh AK, et al. Effect of body mass index on cardiorespiratory parameters among medical students: a cross-sectional study. Int J Physiol Pathophysiol Pharmacol. 2022;14(1):4–9. [PMC free article] [PubMed] [Google Scholar]
- 10.Brazzale DJ, Pretto JJ, Schachter LM. Optimizing respiratory function assessments to elucidate the impact of obesity on respiratory health. Respirology. 2015;20(5):715–21. doi: 10.1111/resp.12563 [DOI] [PubMed] [Google Scholar]
- 11.Dixon AE, Peters U. The effect of obesity on lung function. Expert Rev Respir Med. 2018;12(9):755–67. doi: 10.1080/17476348.2018.1506331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Indumathy J, Pal GK, Pal P, Ananthanarayanan PH, Parija SC, Balachander J, et al. Association of sympathovagal imbalance with obesity indices, and abnormal metabolic biomarkers and cardiovascular parameters. Obes Res Clin Pract. 2015;9(1):55–66. doi: 10.1016/j.orcp.2014.01.007 [DOI] [PubMed] [Google Scholar]
- 13.Silvestre OM, Nadruz W Jr, Querejeta Roca G, Claggett B, Solomon SD, Mirabelli MC, et al. Declining lung function and cardiovascular risk: the ARIC study. J Am Coll Cardiol. 2018;72(10):1109–22. doi: 10.1016/j.jacc.2018.06.049 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Thayer JF, Yamamoto SS, Brosschot JF. The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. Int J Cardiol. 2010;141(2):122–31. doi: 10.1016/j.ijcard.2009.09.543 [DOI] [PubMed] [Google Scholar]
- 15.Edwards AM, Graham D, Bloxham S, Maguire GP. Efficacy of inspiratory muscle training as a practical and minimally intrusive technique to aid functional fitness among adults with obesity. Respir Physiol Neurobiol. 2016;234:85–8. doi: 10.1016/j.resp.2016.09.007 [DOI] [PubMed] [Google Scholar]
- 16.Langer D, Ciavaglia C, Faisal A, Webb KA, Neder JA, Gosselink R, et al. Inspiratory muscle training reduces diaphragm activation and dyspnea during exercise in COPD. J Appl Physiol (1985). 2018;125(2):381–92. doi: 10.1152/japplphysiol.01078.2017 [DOI] [PubMed] [Google Scholar]
- 17.Tenório LHS, Santos AC, Câmara Neto JB, Amaral FJ, Passos VMM, Lima AMJ, et al. The influence of inspiratory muscle training on diaphragmatic mobility, pulmonary function and maximum respiratory pressures in morbidly obese individuals: a pilot study. Disabil Rehabil. 2013;35(22):1915–20. doi: 10.3109/09638288.2013.769635 [DOI] [PubMed] [Google Scholar]
- 18.Casali CCC, Pereira APM, Martinez JAB, de Souza HCD, Gastaldi AC. Effects of inspiratory muscle training on muscular and pulmonary function after bariatric surgery in obese patients. Obes Surg. 2011;21(9):1389–94. doi: 10.1007/s11695-010-0349-y [DOI] [PubMed] [Google Scholar]
- 19.Cutrim ALC, Duarte AAM, Silva-Filho AC, Dias CJ, Urtado CB, Ribeiro RM, et al. Inspiratory muscle training improves autonomic modulation and exercise tolerance in chronic obstructive pulmonary disease subjects: a randomized-controlled trial. Respir Physiol Neurobiol. 2019;263:31–7. doi: 10.1016/j.resp.2019.03.003 [DOI] [PubMed] [Google Scholar]
- 20.Edwards AM, Maguire GP, Graham D, Boland V, Richardson G. Four weeks of inspiratory muscle training improves self-paced walking performance in overweight and obese adults: a randomised controlled trial. J Obes. 2012;2012:918202. doi: 10.1155/2012/918202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Rodrigues GD, Dal Lago P, da Silva Soares PP. Time-dependent effects of inspiratory muscle training and detraining on cardiac autonomic control in older women. Exp Gerontol. 2021;150:111357. doi: 10.1016/j.exger.2021.111357 [DOI] [PubMed] [Google Scholar]
- 22.Rodrigues GD, Gurgel JL, Gonçalves TR, da Silva Soares PP. Inspiratory muscle training improves physical performance and cardiac autonomic modulation in older women. Eur J Appl Physiol. 2018;118(6):1143–52. doi: 10.1007/s00421-018-3844-9 [DOI] [PubMed] [Google Scholar]
- 23.Chiappa GR, Roseguini BT, Vieira PJC, Alves CN, Tavares A, Winkelmann ER, et al. Inspiratory muscle training improves blood flow to resting and exercising limbs in patients with chronic heart failure. J Am Coll Cardiol. 2008;51(17):1663–71. doi: 10.1016/j.jacc.2007.12.045 [DOI] [PubMed] [Google Scholar]
- 24.Dall’Ago P, Chiappa GRS, Guths H, Stein R, Ribeiro JP. Inspiratory muscle training in patients with heart failure and inspiratory muscle weakness: a randomized trial. J Am Coll Cardiol. 2006;47(4):757–63. doi: 10.1016/j.jacc.2005.09.052 [DOI] [PubMed] [Google Scholar]
- 25.World Health Organization WPR. The Asia-Pacific perspective: redefining obesity and its treatment. 2000. https://iris.who.int/handle/10665/206936
- 26.World Health Organization. Waist Circumference and Waist-hip Ratio: Report of a WHO Expert Consultation. 2011 [Accessed 2023 November 10]. https://www.who.int/publications/i/item/9789241501491
- 27.Graham BL, Steenbruggen I, Miller MR, Barjaktarevic IZ, Cooper BG, Hall GL. Standardization of spirometry 2019 update. An Official American Thoracic Society and European Respiratory Society Technical Statement. Am J Respir Crit Care Med. 2019;200(8):e70–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Suh MR, Kim DH, Jung J, Kim B, Lee JW, Choi WA, et al. Clinical implication of maximal voluntary ventilation in myotonic muscular dystrophy. Medicine (Baltimore). 2019;98(18):e15321. doi: 10.1097/MD.0000000000015321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–38. doi: 10.1183/09031936.05.00034805 [DOI] [PubMed] [Google Scholar]
- 30.Kaminski DM, Schaan BD, da Silva AMV, Soares PP, Lago PD. Inspiratory muscle training in patients with diabetic autonomic neuropathy: a randomized clinical trial. Clin Auton Res. 2015;25(4):263–6. doi: 10.1007/s10286-015-0291-0 [DOI] [PubMed] [Google Scholar]
- 31.Pattanakuhar S, Phrommintikul A, Tantiworawit A, Srichairattanakool S, Chattipakorn SC, Chattipakorn N. N-acetylcysteine restored heart rate variability and prevented serious adverse events in transfusion-dependent thalassemia patients: a double-blind single center randomized controlled trial. Int J Med Sci. 2020;17(9):1147–55. doi: 10.7150/ijms.45795 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.HajGhanbari B, Yamabayashi C, Buna TR, Coelho JD, Freedman KD, Morton TA, et al. Effects of respiratory muscle training on performance in athletes: a systematic review with meta-analyses. J Strength Cond Res. 2013;27(6):1643–63. doi: 10.1519/JSC.0b013e318269f73f [DOI] [PubMed] [Google Scholar]
- 33.Bostanci Ö, Mayda H, Yılmaz C, Kabadayı M, Yılmaz AK, Özdal M. Inspiratory muscle training improves pulmonary functions and respiratory muscle strength in healthy male smokers. Respir Physiol Neurobiol. 2019;264:28–32. doi: 10.1016/j.resp.2019.04.001 [DOI] [PubMed] [Google Scholar]
- 34.Vasconcelos T, Hall A, Viana R. The influence of inspiratory muscle training on lung function in female basketball players - a randomized controlled trial. Porto Biomed J. 2017;2(3):86–9. doi: 10.1016/j.pbj.2016.12.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Aaron SD, Fergusson D, Dent R, Chen Y, Vandemheen KL, Dales RE. Effect of weight reduction on respiratory function and airway reactivity in obese women. Chest. 2004;125(6):2046–52. doi: 10.1378/chest.125.6.2046 [DOI] [PubMed] [Google Scholar]
- 36.Rodrigues GD, Dal Lago P, da Silva Soares PP. Inspiratory muscle training improves breathing pattern and sympatho-vagal balance but not spontaneous baroreflex sensitivity in older women. Respir Physiol Neurobiol. 2021;290:103672. doi: 10.1016/j.resp.2021.103672 [DOI] [PubMed] [Google Scholar]
- 37.Villiot-Danger J-C, Villiot-Danger E, Borel J-C, Pépin J-L, Wuyam B, Vergès S. Respiratory muscle endurance training in obese patients. Int J Obes (Lond). 2011;35(5):692–9. doi: 10.1038/ijo.2010.191 [DOI] [PubMed] [Google Scholar]
- 38.Indumathy J, Pal P, Pal GK, Dutta TK. Assessment of heart rate variability indices in overweight and obese Indian population. Int J Clin Exp Physiol. 2014;1(3):192–5. [Google Scholar]
- 39.Yadav RL, Yadav PK, Yadav LK, Agrawal K, Sah SK, Islam MN. Association between obesity and heart rate variability indices: an intuition toward cardiac autonomic alteration - a risk of CVD. Diabetes Metab Syndr Obes. 2017;10:57–64. doi: 10.2147/DMSO.S123935 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Corrêa APS, Ribeiro JP, Balzan FM, Mundstock L, Ferlin EL, Moraes RS. Inspiratory muscle training in type 2 diabetes with inspiratory muscle weakness. Med Sci Sports Exerc. 2011;43(7):1135–41. doi: 10.1249/MSS.0b013e31820a7c12 [DOI] [PubMed] [Google Scholar]
- 41.de Abreu RM, Rehder-Santos P, Minatel V, Dos Santos GL, Catai AM. Effects of inspiratory muscle training on cardiovascular autonomic control: a systematic review. Auton Neurosci. 2017;208:29–35. doi: 10.1016/j.autneu.2017.09.002 [DOI] [PubMed] [Google Scholar]
- 42.Chang YC, Chang HY, Ho CC, Lee PF, Chou YC, Tsai MW. Effects of 4-week inspiratory muscle training on sport performance in college 800-meter track runners. Medicina. 2021;57(1):72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Stavrou VT, Vavougyios GD, Tsirimona G, Boutlas S, Santo M, Hadjigeorgiou G, et al. The effects of 4-week respiratory muscle training on cardiopulmonary parameters and cognitive function in male patients with OSA. Applied Sciences. 2025;15(5):2532. doi: 10.3390/app15052532 [DOI] [Google Scholar]
- 44.Bernardi L, Porta C, Gabutti A, Spicuzza L, Sleight P. Modulatory effects of respiration. Auton Neurosci. 2001;90(1–2):47–56. doi: 10.1016/S1566-0702(01)00267-3 [DOI] [PubMed] [Google Scholar]
- 45.Rodrigues F, Araujo AA, Mostarda CT, Ferreira J, de Barros Silva MC, Nascimento AM, et al. Autonomic changes in young smokers: acute effects of inspiratory exercise. Clin Auton Res. 2013;23(4):201–7. doi: 10.1007/s10286-013-0202-1 [DOI] [PubMed] [Google Scholar]
- 46.Ferreira JB, Plentz RDM, Stein C, Casali KR, Arena R, Lago PD. Inspiratory muscle training reduces blood pressure and sympathetic activity in hypertensive patients: a randomized controlled trial. Int J Cardiol. 2013;166(1):61–7. doi: 10.1016/j.ijcard.2011.09.069 [DOI] [PubMed] [Google Scholar]
- 47.Nobre e Souza MÂ, Lima MJV, Martins GB, Nobre RA, Souza MHLP, de Oliveira RB, et al. Inspiratory muscle training improves antireflux barrier in GERD patients. Am J Physiol Gastrointest Liver Physiol. 2013;305(11):G862-7. doi: 10.1152/ajpgi.00054.2013 [DOI] [PubMed] [Google Scholar]
- 48.El-Malahi O, Mohajeri D, Mincu R, Bäuerle A, Rothenaicher K, Knuschke R, et al. Beneficial impacts of physical activity on heart rate variability: a systematic review and meta-analysis. PLoS One. 2024;19(4):e0299793. doi: 10.1371/journal.pone.0299793 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Sa-nguanmoo P, Chuatrakoon B, Pratanaphon S, Thanagosai J, Sriarpon J. Impact of physical activity on pulmonary function and respiratory muscle strength in obese young adults. Trends Sci. 2023;20(11):6802. doi: 10.48048/tis.2023.6802 [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
(PDF)
The IMT group showed a significant effect of time on MIP (p = 0.004), while the control group did not (p = 0.103). Partial eta squared (η²) indicates a large effect size in the IMT group.
(PDF)
Significant increases were observed in the IMT group from week 0 to week 2 (p = 0.03) and week 0 to week 4 (p = 0.008). No significant changes were found in the control group.
(PDF)
At baseline (Week 0), there was no significant difference in MIP between groups (p = 0.15). However, significant between-group differences were observed at week 2 (p = 0.02) and week 4 (p = 0.004), with the IMT group showing greater MIP gains.
(PDF)
Data Availability Statement
All relevant data are within the paper and its Supporting information files.


