Literature DB >> 32878112

Effect of a Graduated Walking Program on the Severity of Obstructive Sleep Apnea Syndrome. A Randomized Clinical Trial.

Antonio Jurado-García1, Guillermo Molina-Recio2, Nuria Feu-Collado3, Ana Palomares-Muriana3, Adela María Gómez-González4, Francisca Lourdes Márquez-Pérez5, Bernabé Jurado-Gamez3.   

Abstract

BACKGROUND: Obstructive sleep apnea syndrome (OSAS) is a common disease. The objective of this research was to determine the effectiveness of a graduated walking program in reducing the apnea-hypopnea index number in patients with obstructive sleep apnea syndrome (OSAS).
METHODS: A randomized controlled clinical trial with a two-arm parallel in three tertiary hospitals was carried out with seventy sedentary patients with moderate to severe OSAS. Twenty-nine subjects in each arm were analyzed by protocol. The control group received usual care, while usual care and an exercise program based on progressive walks without direct supervision for 6 months were offered to the intervention group.
RESULTS: The apnea-hypopnea index decreased by six points in the intervention group, and improvements in oxygen desaturation index, total cholesterol, and Low-Density Lipoprotein of Cholesterol (LDL-c) were observed. A higher decrease in sleep apnea-hypopnea index (45 ± 20.6 vs. 34 ± 26.3/h; p = 0.002) was found in patients with severe vs. moderate OSAS, as well as in oxygen desaturation index from baseline values (43.3 vs. 34.3/h; p = 0.046). Besides, High-Density Lipoprotein of Cholesterol (HDL-c) values showed a higher increase in the intervention group (45.3 vs. 49.5 mg/dL; p = 0.009) and also, a higher decrease in LDL-c was found in this group (141.2 vs. 127.5 mg/dL; p = 0.038).
CONCLUSION: A home physical exercise program is a useful and viable therapeutic measure for the management of OSAS.

Entities:  

Keywords:  cardiovascular diseases; exercise and pulmonary rehabilitation; physical activity; sleep apnea

Mesh:

Substances:

Year:  2020        PMID: 32878112      PMCID: PMC7503647          DOI: 10.3390/ijerph17176334

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


1. Introduction

Obstructive sleep apnea syndrome (OSAS) is a common disease with a prevalence of 19% in men and 14.9% in women in Spain [1]. The OSAS severity is determined by the number of respiratory events during sleep that result in impaired sleep quality, unrefreshing sleep, and excessive daytime sleepiness [2]. These aspects negatively affect areas of occupational health [3], lead to higher levels of anxiety and depression compared to individuals without OSAS, and are related to decreased physical activity and sedentary lifestyles, which, in turn, hinders the clinical management of this disease. Besides, sleep disorders trigger mechanisms associated with endothelial dysfunction [4] and increased risk of vascular events and mortality [5]. The treatment of choice for OSAS is continuous positive airway pressure (CPAP), mandibular advancement devices, and general therapeutic measures [2,6]. These general measures are applicable in all stages of the disease and constitute the only treatment in individuals presenting with mild to moderate OSAS without cardiovascular risk factors [6]. Obesity is potentially modifiable and is one of the most important risk factors in the development of OSAS and stands out among these general measures [7,8]. Observational studies have reported that physical exercise may reduce the prevalence [7,9] and the incidence of sleep-disordered breathing [10], as well as the sleep apneahypopnea index (AHI). However, one limitation of these studies is their small sample size [11,12]. In addition, there are no unsupervised physical exercise programs easily performed by all patients and that, in this context, are effective in reducing the severity of OSAS. Moreover, physical activity has a multifactorial component that favors variability across different populations [13]. The main objective of the study was to determine the effectiveness of a progressive walking program in reducing the number of sleep-disordered breathing events in moderate to severe OSAS patients. The secondary objective was to assess the impact of daytime sleepiness on activities of daily living of patients using the Functional Outcomes of Sleep Questionnaire [14], as well as on lipid metabolism.

2. Materials and Methods

2.1. Study Design

A randomized controlled clinical trial with a two-arm parallel design was performed in accordance with the CONSORT statement for non-pharmacological trials [15]. Clinical trial registration number: NCT03997877. The study design is shown in Figure 1.
Figure 1

Study Design. * Data collected at baseline and 6 months of intervention: (1) Anthropometric data (Body Mass Index, Neck circumference, Waist-to-hip ratio); (2) Physical activity (steps/day); (3) Questionnaires (Epworth Sleepiness Scale, Functional Outcomes of Sleep Questionnaire]; (4) Sleep-disordered breathing detected through polygraphy (Just for baseline and six months after intervention) (Apneas–Hypopneas Index, SpO2 mean (%), registered time spent with SpO2 < 90% (%) and Oxygen desaturation index); (5) Biochemical parameters (Urea, Creatinine, Alanine aminotransferase, Aspartate aminotransferase, Blood glucose, Total Cholesterol, High-density lipoprotein cholesterol, Low-density lipoprotein cholesterol and Triglycerides).

2.1.1. Population

The sample was selected from the 3 University Hospitals participating in the study, from May 2017 to March 2019. Patients with a sedentary lifestyle and suspected sleep-disordered breathing (i.e., the eligible population) were recruited. After an initial examination, a sleep study was requested in order to evaluate the diagnosis and severity of OSAS. The sleep study and data collection were coordinated and conducted at the Reina Sofia University Hospital of Cordoba, Spain. Written informed consent was obtained from the patients, and the study was approved by the Research Ethics Committee of Cordoba (code: SAH-2014, ref.2711). Data were gathered by one of the authors in collaboration with research coordinators and were analyzed by two of the authors.

2.1.2. Subject Selection

The inclusion criteria were: (1) aged between 18 and 65 years old; (2) low levels of physical activity, defined as obtaining a physical activity index less than 51 on the Yale Physical Activity Survey [16]; (3) an AHI of between 15 and 30/h, an Epworth score less than 12 without vascular risk factors, or an AHI greater than 30/h with CPAP refusal; (4) signing the informed consent form. Participants were excluded for the following reasons due to advanced chronic illness that precludes following a physical exercise program: (1) impairment of the locomotor system; (2) respiratory failure caused by chronic cardiopulmonary disease; (3) severe psychiatric illness preventing the understanding of and/or compliance with instructions.

2.1.3. Sample Size

For a difference in AHI means of −7.22 (±2.79) events/hour in the experimental group, compared to 0.13 (±1.88) in the control group, representing an effect size (Cohen’s d) of −0.945 [17], with the probability of making a type I error being 0.05 for two-tailed tests and a power (1-ß) of 85%, a total size of 44 individuals was estimated to be required—22 for the experimental group and 22 for the control group. To mitigate the possible effect of lost data, this was increased by 10%, resulting in a final minimum sample size of 48 individuals, 24 for each group.

2.1.4. Intervention

The control group received general therapeutic measures and regular physical activity monitored with a pedometer was recommended. In addition to these general measures, the intervention group was encouraged in the implementation of an exercise program based on progressive walks without direct supervision for 6 months. The subjects assigned to this group were assessed by a physiotherapist who explained the training program to them (Figure 2). In both groups, physical activity was recorded in a walking diary. Both groups were followed up via telephone in the second and fourth months and were clinically assessed in the third and sixth months (Figure 1).
Figure 2

The walking program carried out at least five days a week according to the degree of perceived exertion by the Borg scale.

Randomization. A random number table was prepared by a statistician who did not participate in the study, using the sampling module of the software Epidat 4.1 (Department of Sanidade, Xunta de Galicia, Galicia, Spain). The ratio of subjects assigned to each group was 1:1. The measures for keeping the research team blinded were as follows. The random numbers were kept in sealed envelopes by the Sleep Unit staff who did not participate in the assessment of the outcomes. The subjects were always monitored by the same researcher and no information was given to them about the therapeutic arm they were assigned to. After randomization, the subjects assigned to the interventional group were referred to physiotherapist, while the subjects of the control group continued with their usual care. Information on the therapeutic arm assigned to the patient, the clinical trial nature, or the research hypothesis was avoided. Furthermore, although the physiotherapist knew only the patients in the experimental group, he did not intervene in any way in measuring the effect of the intervention. Finally, the primary outcome (change in the AHI) is an objective determination (sleep test) that cannot be modified by the information given to the patient. For the follow-up, the telephone calls were made by a blinded researcher (she did not know who was assigned to the control or intervention group). They were only performed to reinforce the patient’s continuity in the study and to resolve any doubts. Control for healthy habits. All individuals were advised to maintain a stable sleep habit for at least 7 h at night, to refrain from drinking alcohol and taking muscle relaxants during the evening, and to maintain the dietary pattern recommended by the American Heart Association [18]. These recommendations and an explanatory leaflet were provided.

2.2. Measures

The data were collected from the patients’ medical records, from their physical examinations, and from the assessment of their degree of physical activity, quantified as steps per day. All the measures, excepting polygraphy, were collected at baseline and 3 and 6 months. Polygraphy was performed at baseline and the end of the study (after six months of intervention).

2.2.1. Clinical Characteristics

Assessment of sleepiness: the degree of daytime sleepiness was assessed using the validated Spanish version of the Epworth Sleepiness Scale [19], while the impact of excessive daytime sleepiness on activities of daily living was assessed using the Spanish version of the Functional Outcomes of Sleep Questionnaire [14].

2.2.2. Cardiorespiratory Polygraphy

The home test was agreed upon by the research teams of the three participating hospitals in accordance with the protocol conducted in Spain [2,20]. In short, airflow was studied using thermistors and pressure signals. Snoring and both thoracic and abdominal effort were recorded using impedance belts, and heart rate and peripheral oxygen saturation (SpO2) values were recorded using pulse oximetry. Apnea was defined as a significant drop (>90%) in the airflow signal lasting ≥10 s. Hypopnea was defined as an evident decrease in airflow signal amplitude (>30% and <90%) lasting more than 10 s, accompanied by a ≥4% drop in SpO2. The following respiratory variables were analyzed: the AHI or the sum of the number of apneas plus the number of hypopneas per recording hour, mean SpO2, and oxygen desaturation index (number of decreases in SpO2 ≥ 3%/h) and T90% (recording time spent with a SpO2 of <90%). An apneahypopnea index ≥5/h was considered diagnosis of OSAS. Subjects were classified as having mild (AHI > 5/h and < 15/h), moderate (AHI > 15/h and < 30/h), or severe (AHI > 30/h) OSAS [2]. All tests were analyzed manually and always by the same researcher, in accordance with the recommended guidelines [2,21].

2.2.3. Physical Activity

In both groups, physical activity was measured using a pedometer (Geonaute ONstep400, Oxylane, Villeneuve-d’Ascq, France) with the ability to store daily data over a week.

2.3. Outcomes

The primary outcome was the influence of the physical exercise program on AHI at the end of the follow-up period. The variables to be controlled for were the following: (1) SpO2 values: SpO2 during wakefulness (%), mean SpO2 (%), oxygen desaturation index, and T90% or amount of recording time spent with a SpO2 of <90%; (2) Anthropometric measures: age, sex, body mass index, neck circumference (cm), and waist-to-hip ratio; (3) Physical activity: number of steps per day recorded by the pedometer; (4) Biochemical profile.

2.4. Data Analysis

The data were described using means, standard deviations, and minimum and maximum values for quantitative variables, whereas frequencies and percentages were used for qualitative variables. At the beginning of the study, for the comparison of means, Student’s t-test for independent samples or the Mann–Whitney U-test were used. For the comparison of means at the beginning of the study (baseline) and means at the end, Student’s t-test for paired samples or Wilcoxon’s signed-rank test were used. The statistical significance threshold for all values was set at p < 0.05.

3. Results

During the recruitment period, the eligible population was 70 subjects. Figure 3 shows the flow of patients. Over the course of the study, five subjects were excluded from each group, resulting in 29 patients in each arm.
Figure 3

CONSORT flow diagram.

The sample had a mean age of 51 ± 8.2 years, a body mass index of 32 ± 4.7 kg/m2, an AHI of 28 ± 15.6/h, and an Epworth scale score of 9 ± 4.4. The baseline data for each group were homogeneous, except for blood glucose and oxygen desaturation index (Table 1).
Table 1

Baseline characteristics of the subjects included in the study.

Anthropometric DataIntervention Group (n = 34)Control Group (n = 34)p-Value
Age (years)52 ± 6.650 ± 9.50.335
Men, n (%)20 (59)23 (67)0.615
BMI (kg/m2)32 ± 5.232 ± 4.30.527
Neck circumference (cm)41 ± 3.540 ± 3.80.620
Waist-to-hip ratio0.94 ± 0.5290.94 ± 0.10.992
Physical Activity
YPAS, Score35 ± 10.634 ± 10.70.659
Questionnaires
ESS, Score9 ± 4.510 ± 4.30.370
FOSQ, Total Score79 ± 19.377 ± 17.10.577
General Productivity Score3.2 ± 0.823.1 ± 0.680.575
Activity Level Score3.0 ± 0.843.0 ± 0.680.863
Vigilance Score2.9 ± 1.013.0 ± 0.830.639
Social Outcomes Score3.4 ± 1.043.4 ± 1.010.972
Intimacy and Sexual Relationships Score3.2 ± 2.822.8 ± 1.270.166
Sleep-Disordered Breathing
AHI29 ± 19.727 ± 10.40.604
SpO2 mean (%)94 ± 1.694 ± 1.70.677
T90 (%)5.7 ± 11.643.6 ± 10.320.441
Oxygen desaturation index33 ± 21.125 ± 10.70.032
Biochemical Parameters
Urea (mg/dL)35.7 ± 11.4731.8 ± 6.470.093
Creatinine (mg/dL)0.85 ± 0.2860.80 ± 0.1020.385
ALT (U/L)28 ± 10.525 ± 10.50.252
AST (U/L)23 ± 6.421 ± 5.00.272
Blood glucose (mg/dL)104 ± 16.594 ± 14.80.014
Total Cholesterol, (mg/dL)206 ± 31.6204 ± 46.10.881
HDL-col, (mg/dL)46 ± 11.448 ± 14.40.441
LDL-col, (mg/dL)132 ± 28.4137 ± 23.40.452
TGL, (mg/dL)138 ± 69.1132 ± 66.90.728

Values expressed with mean ± SD. BMI—Body Mass Index; YPAS—Yale Physical Activity Survey; ESS—Epworth Sleepiness Scale; FOSQ—Functional Outcomes of Sleep Questionnaire; AHI—Apnea–Hypopnea Index; SpO2—Peripheral capillary oxygen saturation measured by pulse oximetry; T90—Recording time spent with SpO2 <90%; ALT—Alanine aminotransferase; AST—Aspartate aminotransferase; HDL-col—High-density lipoprotein cholesterol; LDL—Low-density lipoprotein cholesterol; TGL—Triglycerides. The p-value represents the level of statistical significance of the Student t-test.

Table 2 shows the changes in the experimental and control groups in baseline variables and after 6 months. In both groups, body mass index and neck circumference decreased. The AHI decreased by six events/h points in the experimental group and one event/h in the control group, although without reaching statistical significance. In this experimental group, improvements were also observed in oxygen desaturation index, total cholesterol, and LDL-c, with a tendency towards statistical significance and a positive effect on excessive daytime sleepiness and the Functional Outcomes of Sleep Questionnaire. The daily distance reached at 6 months was higher by 602.2 steps per day in the experimental group (p < 0.005).
Table 2

Within-group changes in the intervention and control groups.

VariablesIntervention Group (n = 29)Control Group (n = 29)
BaselineAfter 6 MonthsMean Difference95% ICp-ValueBaselineAfter 6 MonthsMean Difference95% ICp-Value
Anthropometric Data
BMI (kg/m2)32 ± 4.131 ± 4.10.7590.087–1.4310.02832 ± 4.331 ± 4.50.6530.195–1.1110.007
Neck circumference (cm)40.8 ± 3.6139.8 ± 2.950.9820.420–1.5440.00140.8 ± 3.39.8 ± 2.920.8450.373–1.3160.001
Waist-to-hip ratio0.94 ± 0.060.94 ± 0.0520.007−0.022–0.0070.3250.93 ± 0.080.93 ± 0.080.004−0.009–0.0160.543
Physical Activity
Steps/day-4380 ± 3018 NA-3778 ± 2273 NA
Questionnaires
ESS, Score9.9 ± 4.427.7 ± 4.472.1720.898–3.4460.0139.8 ± 4.569.2 ± 3.890.724−0.529–1.9770.292
FOSQ, Total Score32 ± 4.131 ± 4.15.720−10.407–1.0340.02832 ± 4.331 ± 4.50.086−7.715–7.8870.007
General Productivity Score3.2 ± 0.703.4 ± 0.70−0.196−457–0.0640.1333.2 ± 0.633.1 ± 0.720.069−0.151–0.2890.526
Activity Level Score3.0 ± 0.883.3 ± 0.54−0.357−0.639–(−0.075)0.0153.0 ± 0.713.2 ± 0.61−0.189−0.393–0.0140.067
Vigilance Score2.9 ± 1.053.4 ± 0.74−0.5000.854–(−0.146)0.0073.0 ± 0.893.2 ± 0.65−0.234−0.529−0.0590.114
Social Outcomes Score3.3 ± 1.123.5 ± 0.88−0.214−0.600–0.1710.2643.4 ± 1.083.4 ± 0.73−0.034−0.434–0.3650.861
Intimacy and Sexual Relationships Score3.2 ± 1.173.2 ± 1.250.071−0.163–0.3060.5372.8 ± 1.283.1 ± 1.13−0.241−0.668–0.1860.257
Sleep-Disordered Breathing
AHI29 ± 20.823 ± 13.16.062−0.242–10.3660.12627 ± 9.925 ± 16.291.152−4.915–7.2180.778
SpO2 mean (%)93 ± 1.793 ± 2.50.176−0.565–0.9160.63094 ± 1.894 ± 1.9−0.243−0.974–0.4870.501
T90 (%)6 ± 6.46 ± 5.10.540−3.829–4.9090.8024 ± 4.144 ± 4.20.033−4.952–5.0170.989
Oxygen desaturation index33 ± 22.427 ± 18.96.091−0.464–12.6470.06725 ± 11.025 ± 15.40.368−5.587–6.3230.900
Biochemical Parameters
Urea (mg/dL)37 ± 12.238 ± 12.7−1.500−4.491–1.4910.31332 ± 6.433 ± 8.6−1.552−4.783–1.6800.334
Creatinine (mg/dL)0.84 ± 0.310.86 ± 0.38−0.017−0.094–0.0610.6610.79 ± 0.090.79 ± 0.1350.001−0.030–0.0310.982
ALT (U/L)28 ± 11.125 ± 8.12.798−1.173–6.7450.16025 ± 11.124 ± 10.60.966−2.454–4.3850.568
AST (U/L)23 ± 6.521 ± 5.21.786−1.084–4.6550.21320 ± 4.721 ± 7.5−0.862−3.771–2.0470.549
Blood glucose (mg/dL)103 ± 17.7100 ± 33.63.250−5.053–11.5530.42995 ± 15.895 ± 13.60.103−3.958–4.1650.959
Total cholesterol (mg/dL)206 ± 32.1194 ± 37.512.786−0.246–25.8170.054203 ± 47.7206 ± 36,1−2.926−23.206–17.3530.770
HDL-col, (mg/dL)46 ± 9.447 ± 9.5−0.714−3.912–2.4830.65048 ± 14.950 ± 12.3−1.448−5.245–2.3480.441
LDL-col, (mg/dL)132 ± 28.7121 ± 33.610.643−0.090–21.3760.052136 ± 22.7129 ± 31.77.310−2.183–16.8040.126
TGL (mg/dL)138 ± 74.2134 ± 814.393−24.381–33.1660.756132 ± 71.7131 ± 57.11.034−17.462–19.5310.910

Values are expressed as the mean ±SD. IC—Interval Confidence; BMI—Body Mass Index; ESS—Epworth Sleepiness Scale; FOSQ—Functional Outcomes of Sleep Questionnaire; AHI—Apnea–Hypopnea Index; SpO2—Peripheral capillary oxygen saturation measured by pulse oximetry; T90%—recording time spent with SpO2 <90%; ALT—alanine aminotransferase; AST—aspartate aminotransferase; HDL-col—high-density lipoprotein cholesterol; LDL—low-density lipoprotein cholesterol; TGL—triglycerides; NA—not applicable. The p-value represents the level of statistical significance of the Student paired t-test.

When both groups were classified in moderate OSAS (n = 41) versus severe OSAS (n = 17), as shown in Table 3 and Figure 4, a significant decrease in AHI, oxygen desaturation index, and changes in lipid metabolism were also observed.
Table 3

Impact of the physical exercise program analyzed by OSAS severity.

VariablesModerate OSAS Group (n = 41)Severe OSAS Group (n = 17)
BaselineAfter 6 MonthsMean Difference95% ICp-ValueBaselineAfter 6 MonthsMean Difference95% ICp-Value
Anthropometric Data
BMI (kg/m2)32 ± 3.831 ± 4.10.5300.055–1.0050.03032 ± 5.030 ± 4.71.1170.393–1.8410.005
Neck circumference (cm)40 ± 3.239 ± 3.10.8500.412–1.2890.00141 ± 4.640 ± 3.71.0580.404–1.7130.003
Waist-to-hip ratio0.93 ± 0.07093 ± 0.067−0.002−0.011–0.0070.6320.94 ± 0.0640.94 ± 0.0620.000−0.024–0.0241.000
Physical Activity
Steps/day-4261 ± 2026.3 NA-3633 ± 2462.8 NA
Questionnaires
ESS, Score9.7 ± 4.438.5 ± 3.951.5610.601–2.5210.0128.7 ± 4.618.3 ± 4.951.176−0.961–3.3140.587
FOSQ, Total Score76 ±18.081 ± 15.0−4.434−8.753–(−0.114)0.04481 ± 20.480 ± 23.41.159−10.841–13.1580.840
Sleep-Disordered Breathing
AHI20 ± 4.7623 ± 15.71.683−5.660–2.2940.22845 ± 20.630 ± 26.314.6597.356–21.9610.002
SpO2 mean (%)94 ± 1.694 ± 2.20.148−0.449–0.7450.62093 ± 1.993 ± 2.3−0.471−1.501–0.5600.347
T90 (%)5 ± 6.24 ± 4.30.285−4.092–4.6630.8966 ± 5.96 ± 4.90.288−3.374–3.9500.870
Oxygen desaturation index24 ± 9.723 ± 14.70.842−4.900–5.8730.73743 ± 25.134 ± 20.28.9880.182–17.7940.046
Biochemical Parameters
Urea (mg/dL)35 ± 30.736 ± 12.0−1.900−4.24–0.8240.16633 ± 7.934 ± 8.2−0.647−4.237–2.9430.707
Creatinine (mg/dL)0.81 ± 0.270.80 ± 0.2930.007−0.025–0.0400.6450.84 ± 0.8660.88 ± 0.258−0.044−0.162–0.0730.432
ALT (U/L)26 ± 10.525 ± 10.00.500−2.554–3.5540.74227 ± 12.522 ± 7.65.0590.387–9.7310.036
AST (U/L)22 ± 6.222 ± 6.90.000−2.673–2.6731.00021 ± 4.720 ± 5.11.471−1.305–4.2460.278
Blood glucose (mg/dL)100 ± 18.598.4 ± 29.11.875−4.398–8.1480.54996 ± 13.895 ± 14.01.117−2.,287–4.5230.497
Total Cholesterol (mg/dL)201 ± 42.4200 ± 40.81.104−14.763–16.9700.889214 ± 33.4201 ± 26.713.471−2.678–29.6200.096
HDL-col, (mg/dL)49 ± 14.348 ± 11.40.250−2.924–3.4240.87445 ± 7.849 ± 10.3−4.235−7.253–(−1.218)0.009
LDL-col, (mg/dL)131 ± 24.2124 ± 36.26.950−1.596–15.4960.108141 ± 28,6127 ± 22.613.6470.856–26.4380.038
TGL (mg/dL)134 ± 67139 ± 75.7−5.650−24.758–13.4580.55337 ± 84.4115 ± 48.722.294−10.853–55.4410.173

Values are expressed as the mean (SD). BMI—Body Mass Index; ESS—Epworth Sleepiness Scale; FOSQ—Functional Outcomes of Sleep Questionnaire; AHI—Apnea–Hypopnea Index; T90—recording time spent with SpO2 <90%; ALT—alanine aminotransferase; AST—aspartate aminotransferase; HDL-col—high-density lipoprotein cholesterol; LDL—low-density lipoprotein cholesterol; TGL—triglycerides; NA—not applicable. The p-value represents the level of statistical significance of the Student paired t-test for Moderate OSAS and Wilcoxon’s signed-rank test for Severe OSAS.

Figure 4

Apnea–hypopnea index before (baseline) and after a physical exercise program (intervention) in patients with moderate vs. severe OSAS. Each line of different colour represents the individual evolution of AHI for each participant. Within-groups comparison using Wilcoxon’s test for asymmetry distribution. The p-value represents the level of statistical significance of the Student paired t-test for Moderate OSAS and Wilcoxon’s signed-rank test for Severe OSAS.

4. Discussion

In patients with a sedentary lifestyle with moderate–severe OSAS, a 6-month physical activity program did not significantly decrease the severity of OSAS, although it may have a clinically relevant effect. A beneficial impact on daytime sleepiness and on the clinical consequences OSAS has on daily activities has been observed. In addition, after classifying patients according to severity, a decrease in AHI and an improvement in parameters associated with lipid metabolism were observed in severe OSAS. The minimum distance leading to a clinically important change is not well established in OSAS, especially when the subjects’ baseline situation is sedentary. In our program, the daily distance walked by the experimental group was 602 m longer than that of the control group. The average number of steps per day was similar to the 5388 average steps described in a meta-analysis involving subjects with OSAS and a walking program [22], ranging from the 7734 steps per day reported by Mendelson et al. [23] to the 1570 steps per day reported by Bamberga et al. [24]. Measuring steps using a pedometer may encourage all patients to increase their physical activity [25], which may diminish the effect of our intervention. In the present study, it was observed that physical activity caused a decrease in body mass index, a result that has not been reported in previous studies [25,26,27]. Weight loss was observed in both groups. However, the decrease in AHI was higher in the intervention group. Therefore, there seems to be an issue linked to the exercise. Our patients were sedentary; in this population, the accumulation of fluid in the legs and its nocturnal redistribution in the neck can worsen OSAS. In this sense, the physical activity can individually act on a mechanism of disease for OSAS, which is the redistribution of fluid in the pharynx walls during sleep and improve OSAS [27]. Additionally, the loss of fat around the upper airway can increase the pharyngeal lumen [28]. A noteworthy feature of our study was its 24-week duration, which is longer than most clinical trials in which physical activity is the primary intervention of the rehabilitation program [12,25,26,27,29], typically ranging between 1 week [27] and 12 weeks [12,30]. This longer duration probably led to, in both groups, a decrease in body weight, neck circumference, and daytime sleepiness, and to a lower impact of daytime sleepiness on activities of daily living. Several studies have examined the impact of healthy habits on daytime sleepiness [31,32,33]. The results of the present study show that daytime sleepiness decreased in the interventional group and can have a beneficial effect on quality of life and occupational health [2,3]. The impact of exercise on quality of life and daily activities in OSAS has been analyzed by other authors [12,34]. To our knowledge, this is the first clinical trial to demonstrate a positive effect during 6 months on different aspects of daily living using the Functional Outcomes of Sleep Questionnaire. The main objective of the study was to determine the effectiveness of a progressive walking program in reducing the AHI. In our study in the control group, a decrease of one event/h was observed vs. six events/h in the experimental group. Therefore, it was possible to decrease the mean reached in a meta-analysis whose main objective was to determine the effect of exercise on AHI (−6.27 events/h) [35]. However, in the clinical trials included [12,25,26,27,31,36,37], the program was supervised and developed during hospital check-ups. In our research, AHI decreased by six events/h in the interventional group. Although the change was not statistically significant, this finding is relevant, as a 1-point increase in AHI in men with mild–moderate OSAS is associated with a 6% increase in stroke risk [38]. Our result is satisfying because untreated patients with severe OSAS have increased vascular morbidity and mortality [5,10,38]. Therefore, it is vital to decrease the number of respiratory events, as well as other vascular risk factors [39,40]. Besides, it should be noted that in the severe OSAS group, AHI decreased by 15 events/h, which is higher than average [35] and higher than that observed in various previous studies [12,26,27,41]. One advantage of our study is that the physical exercise program was home-based and easily performed by all patients, which allows us to generalize this recommendation to treat and prevent chronic conditions [42], as well as to reduce body weight and dyslipidemia, considered as cardiovascular risk factors [39,40,42,43].

Limitations

Basal physical activity was determined by the YPAS questionnaire and allowed us to include sedentary subjects. Therefore, the results have to be limited to this population. Besides, because it was not possible to measure baseline physical activity with a pedometer, and we were not able to determine whether the program increased it. Nevertheless, significant differences were found in the number of daily steps in favor of the intervention group. The diagnosis and severity of OSAS were determined in a single night, which may introduce additional variability [21]. Besides, participants randomly assigned to the control group also performed physical exercise, which may have decreased the magnitude of the effect of the program. It has been described that the use of a pedometer can motivate patients to increase physical activity [25] and that maintaining activity logs by the patients can lead to recall bias. However, this circumstance was common to both groups. On the other hand, this fact could increase the physical exercise in the control arm and decrease the effect of our intervention.

5. Conclusions

In sedentary patients with OSAS, physical exercise reduces body weight and sleepiness, and alleviates its effect on the patients’ perceived wellbeing. Furthermore, in patients with severe OSAS, the incorporation of a healthy habit has a positive and clinically relevant effect, reducing the number of respiratory disorders and improving the lipid profile.
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1.  Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: the sleep heart health study.

Authors:  Daniel J Gottlieb; Gayane Yenokyan; Anne B Newman; George T O'Connor; Naresh M Punjabi; Stuart F Quan; Susan Redline; Helaine E Resnick; Elisa K Tong; Marie Diener-West; Eyal Shahar
Journal:  Circulation       Date:  2010-07-12       Impact factor: 29.690

Review 2.  Effects of exercise training on sleep apnea: a meta-analysis.

Authors:  Imran H Iftikhar; Christopher E Kline; Shawn D Youngstedt
Journal:  Lung       Date:  2014-02       Impact factor: 2.584

3.  Strength training and light physical activity reduces the apnea-hypopnea index in institutionalized older adults.

Authors:  Jeffrey E Herrick; Donald L Bliwise; Shipra Puri; Sandy Rogers; Kathy C Richards
Journal:  J Am Med Dir Assoc       Date:  2014-10-05       Impact factor: 4.669

4.  The ABC of Physical Activity for Health: a consensus statement from the British Association of Sport and Exercise Sciences.

Authors:  Gary O'Donovan; Anthony J Blazevich; Colin Boreham; Ashley R Cooper; Helen Crank; Ulf Ekelund; Kenneth R Fox; Paul Gately; Billie Giles-Corti; Jason M R Gill; Mark Hamer; Ian McDermott; Marie Murphy; Nanette Mutrie; John J Reilly; John M Saxton; Emmanuel Stamatakis
Journal:  J Sports Sci       Date:  2010-04       Impact factor: 3.337

5.  [Cost-effectiveness and degree of satisfaction with home sleep monitoring in patients with symptoms of sleep apnea].

Authors:  Bernabé Jurado Gámez; Javier Redel Montero; Luis Muñoz Cabrera; Mari Carmen Fernández Marín; Elisa Muñoz Gomáriz; Miguel Angel Martín Pérez; Andrés Cosano Povedano
Journal:  Arch Bronconeumol       Date:  2007-11       Impact factor: 4.872

6.  Rules for scoring respiratory events in sleep: update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events. Deliberations of the Sleep Apnea Definitions Task Force of the American Academy of Sleep Medicine.

Authors:  Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi
Journal:  J Clin Sleep Med       Date:  2012-10-15       Impact factor: 4.062

7.  The effect of exercise on obstructive sleep apnea: a randomized and controlled trial.

Authors:  Yesim Salik Sengul; Sevgi Ozalevli; Ibrahim Oztura; Oya Itil; Baris Baklan
Journal:  Sleep Breath       Date:  2009-11-07       Impact factor: 2.816

8.  Exercise and sleep-disordered breathing: an association independent of body habitus.

Authors:  Paul E Peppard; Terry Young
Journal:  Sleep       Date:  2004-05-01       Impact factor: 5.849

9.  Obstructive Sleep Apnea Syndrome, Objectively Measured Physical Activity and Exercise Training Interventions: A Systematic Review and Meta-Analysis.

Authors:  Monique Mendelson; Sébastien Bailly; Mathieu Marillier; Patrice Flore; Jean Christian Borel; Isabelle Vivodtzev; Stéphane Doutreleau; Samuel Verges; Renaud Tamisier; Jean-Louis Pépin
Journal:  Front Neurol       Date:  2018-02-22       Impact factor: 4.003

10.  Comparison of the effects of continuous positive airway pressure, oral appliance and exercise training in obstructive sleep apnea syndrome.

Authors:  Teresa Cristina Barros Schütz; Thays Crosara Abrahão Cunha; Thais Moura-Guimaraes; Gabriela Pontes Luz; Carolina Ackel-D'Elia; Eduardo da Silva Alves; Gilberto Pantiga; Marco Tulio de Mello; Sergio Tufik; Lia Bittencourt
Journal:  Clinics (Sao Paulo)       Date:  2013       Impact factor: 2.365

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Review 1.  Obstructive Sleep Apnea Syndrome: The Effect of Acute and Chronic Responses of Exercise.

Authors:  Vasileios T Stavrou; Kyriaki Astara; Konstantinos N Tourlakopoulos; Eirini Papayianni; Stylianos Boutlas; George D Vavougios; Zoe Daniil; Konstantinos I Gourgoulianis
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