Resting Metabolic Rate and Anthropometric Measurements in Male Sleep Apnea Patients

Üçok, Kağan; Ayçiçek, Abdullah; Sezer, Murat; Fidan, Fatma; Akgün, Lütfi; Akkaya, Muzaffer; Ünlü, Mehmet

doi:10.2169/internalmedicine.50.4779

Cited by 30 publications

(27 citation statements)

References 28 publications

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“…However, in the resulting the agreements, substantial differences were observed between the methods. The relationship between OSA and obesity has been extensively studied in recent years (2,3), and the effects of OSA on energy expenditure have been a target of some studies (5,6,13). In contrast with previous studies that suggested that REE is increased in OSA patients, our study doesn't confirm any effect of OSA severity on REE.…”

Section: Resultscontrasting

confidence: 96%

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Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

Melo

Santos

et al. 2017

Arch. Endocrinol. Metab.

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Objective: To investigate the applicability of predictive equations for resting energy expenditure (REE) in obese individuals with obstructive sleep apnea (OSA) and the effects of OSA severity on REE. Materials and methods: Twenty-nine obese men, 41.5 ± 7 years old, with moderate and severe OSA were recruited. All subjects were submitted to a clinical polysomnography, body composition, and indirect calorimetry measurements. REE was also predicted by three different equations: Harris and Benedict (1919), Cunningham (1990), and DRI (2002). Results: No effects of OSA severity on REE were found. The measured REE (2416.0 ± 447.1 kcal/day) and the REE predicted by equations were different from each other (F = 2713.88; p < 0.05): Harris and Benedict (2128.0 ± 245.8 kcal/day), Cunningham (1789.1 ± 167.8 kcal/day) and DRI (2011.1 ± 181.4 kcal/ day). Pearson correlations showed a moderate positive correlation between the REE measured and predicted by all equations. Conclusion: Our findings suggest that predictive equations for REE underestimate the energy expenditure in obese patients with sleep apnea. Also, no effects of OSA severity on REE were found. Arch Endocrinol Metab. 2017;61(3):257-62.

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Section: Resultscontrasting

confidence: 96%

“…Oxyhemoglobin desaturation, successive arousals, and continuous sympathetic activation might be responsible for enhanced metabolism in OSA patients (5,6). OSA also leads to elevated diurnal somnolence and fatigue, which contributes to a sedentary lifestyle and decreased PAEE.…”

Section: Introductionmentioning

confidence: 99%

Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

Melo

Santos

et al. 2017

Arch. Endocrinol. Metab.

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“…OSA may also affect energy metabolism. RMR [54], sleeping EE [55] and 24-h EE are increased in OSA patients compared to snoring controls [56]. In another study, resting EE was found to be independently and positively associated with AHI even after adjusting for BMI [57] or fat-free mass [58].…”

Section: Mechanistic Insights: Impact Of Sleep On Energy Balancementioning

confidence: 99%

Sleep disturbances, body fat distribution, food intake and/or energy expenditure: pathophysiological aspects

St‐Onge¹,

Shechter

2014

Hormone Molecular Biology and Clinical Investigation

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Data from cross-sectional and longitudinal studies have illustrated a relationship between short sleep duration (SSD) and weight gain. Individuals with SSD are heavier and gain more weight over time than normal-duration sleepers. This sleep-obesity relationship may have consequences for obesity treatments, as it appears that short sleepers have reduced ability to lose weight. Laboratory-based clinical studies found that experimental sleep restriction affects energy expenditure and intake, possibly providing a mechanistic explanation for the weight gain observed in chronic short sleepers. Specifically, compared to normal sleep duration, sleep restriction increases food intake beyond the energetic costs of increased time spent awake. Reasons for this increased energy intake after sleep restriction are unclear but may include disrupted appetite-regulating hormones, altered brain mechanisms involved in the hedonic aspects of appetite, and/or changes in sleep quality and architecture. Obstructive sleep apnea (OSA) is a disorder at the intersection of sleep and obesity, and the characteristics of the disorder illustrate many of the effects of sleep disturbances on body weight and vice versa. Specifically, while obesity is among the main risk factors for OSA, the disorder itself and its associated disturbances in sleep quality and architecture seem to alter energy balance parameters and may induce further weight gain. Several intervention trials have shown that weight loss is associated with reduced OSA severity. Thus, weight loss may improve sleep, and these improvements may promote further weight loss. Future studies should establish whether increasing sleep duration/improving sleep quality can induce weight loss.

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“…In terms of energy expenditure, OSA appears to be characterised by lower levels of physical activity, as assessed subjectively by questionnaire [22] and objectively using accelerometry [23]. In addition, OSA may affect energy metabolism, with reports of elevated resting metabolic rate (RMR) [24], sleeping energy expenditure [25] and 24-h energy expenditure in patients versus controls [26]. …”

Section: Introductionmentioning

confidence: 99%

Effects of continuous positive airway pressure on energy balance regulation: a systematic review

Shechter

2016

Eur Respir J

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Obesity is both a cause and a possible consequence of obstructive sleep apnoea (OSA), as OSA seems to affect parameters involved in energy balance regulation, including food intake, hormonal regulation of hunger/satiety, energy metabolism and physical activity. It is known that weight loss improves OSA, yet it remains unclear why continuous positive airway pressure (CPAP) often results in weight gain. The goal of this systematic review is to explore if and how CPAP affects the behaviour and/or metabolism involved in regulating energy balance. CPAP appears to correct for a hormonal profile characterised by abnormally high leptin and ghrelin levels in OSA, by reducing the circulating levels of each. This is expected to reduce excess food intake. However, reliable measures of food intake are lacking, and not yet sufficient to make conclusions. Although studies are limited and inconsistent, CPAP may alter energy metabolism, with reports of reductions in resting metabolic rate or sleeping metabolic rate. CPAP appears to not have an appreciable effect on altering physical activity levels. More work is needed to characterise how CPAP affects energy balance regulation. It is clear that promoting CPAP in conjunction with other weight loss approaches should be used to encourage optimal outcomes in OSA patients.

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Resting Metabolic Rate and Anthropometric Measurements in Male Sleep Apnea Patients

Cited by 30 publications

References 28 publications

Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

Applicability of predictive equations for resting energy expenditure in obese patients with obstructive sleep apnea

Sleep disturbances, body fat distribution, food intake and/or energy expenditure: pathophysiological aspects

Effects of continuous positive airway pressure on energy balance regulation: a systematic review

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