Sleep

Associations of Dietary Patterns and Physical Activity with Sleep Quality and Metabolic Health Markers in Patients with Obstructive Sleep Apnea: An Exploratory Pilot Study.

TL;DR

This exploratory pilot study identifies a high-risk OSA phenotype marked by metabolic dysfunction and hypoxemia, in which eating speed, emotional and reward-driven eating, and physical activity independently shape metabolic and respiratory outcomes.

Key Findings

The prevalence of metabolic syndrome (MetS) among OSA patients in this sample was 45%.

  • Sample consisted of 44 OSA patients with mean age 38.3 ± 9.1 years and 89% male.
  • All participants underwent attended polysomnography, dual-energy X-ray absorptiometry, and metabolic profiling.
  • Validated questionnaires assessed dietary behaviors, physical activity, and sleep quality.
  • This represents a high-risk cardiometabolic phenotype described as 'OSA accompanied by metabolic syndrome.'

Participants with MetS demonstrated significantly greater central adiposity and more severe nocturnal hypoxemia compared to those with OSA alone, despite similar apnea-hypopnea indexes.

  • The OSA+MetS group and OSA-only group had similar apnea-hypopnea indexes.
  • The distinguishing features between groups were central adiposity and nocturnal hypoxemia severity.
  • This pattern defined what the authors described as a 'high-risk phenotype with elevated cardiometabolic burden.'
  • Dual-energy X-ray absorptiometry was used to assess body composition including central adiposity.

Higher body mass index was independently associated with increased odds of MetS in multivariable models.

  • Adjusted odds ratio (aOR) = 1.64 for BMI as a predictor of MetS (p = 0.008).
  • This association was identified using hierarchical logistic regression.
  • BMI was one of three independent predictors of MetS identified in the model.
  • The analysis controlled for other variables included in the hierarchical model.

Reward eating was independently associated with significantly increased odds of metabolic syndrome.

  • aOR = 3.34 for reward eating as a predictor of MetS (p = 0.041).
  • Reward eating was assessed using validated questionnaires.
  • This was identified as an independent predictor of MetS alongside BMI and physical activity.
  • The authors categorize reward eating as a 'psychological eating cue.'

Higher total physical activity was associated with reduced odds of metabolic syndrome.

  • aOR = 0.96 for total physical activity as a predictor of MetS (p = 0.026).
  • Physical activity was assessed using a validated questionnaire.
  • This represents an independent, protective association in the multivariable model.
  • Physical activity was one of three independent predictors of MetS identified.

Younger age was significantly associated with poor subjective sleep quality in multivariable models.

  • aOR = 0.91 for age as a predictor of poor sleep quality (p = 0.037), indicating that each year increase in age was associated with reduced odds of poor subjective sleep quality.
  • Sleep quality was assessed using validated questionnaires.
  • This finding was identified in hierarchical logistic regression models.
  • The direction of the association indicates younger OSA patients reported worse subjective sleep quality.

Slow chewing was associated with significantly reduced odds of severe OSA.

  • aOR = 0.24 for slow chewing as a predictor of severe OSA (p = 0.038).
  • Slow chewing was described by the authors as 'a proxy for mindful eating.'
  • This eating behavior was assessed via validated dietary questionnaires.
  • The association was identified in a multivariable hierarchical logistic regression model.

Emotional eating was independently associated with increased odds of severe OSA.

  • aOR = 2.40 for emotional eating as a predictor of severe OSA (p = 0.048).
  • Emotional eating was assessed using validated questionnaires.
  • The authors categorize emotional eating as a 'psychological eating cue.'
  • Both slow chewing and emotional eating were identified as independent predictors of severe OSA in the same model.

What This Means

This research suggests that among people with obstructive sleep apnea (OSA), nearly half also have metabolic syndrome — a cluster of conditions including abdominal obesity, high blood sugar, and abnormal cholesterol levels that together raise the risk of heart disease and diabetes. Interestingly, those who had both conditions showed worse oxygen levels during sleep and more fat around the abdomen compared to those with OSA alone, even though the number of breathing interruptions during sleep was similar between the two groups. This points to a distinct, higher-risk subgroup of OSA patients whose danger lies not just in interrupted breathing but also in how their body processes energy and fat. The study also found that specific eating behaviors and physical activity levels were linked to these health outcomes independently of other factors. People who ate for emotional reasons had higher odds of having severe OSA, while those who ate more slowly — considered a marker of mindful eating — had lower odds of severe OSA. Reward-driven eating (eating for pleasure or as a treat rather than hunger) was linked to higher odds of having metabolic syndrome, while being more physically active was linked to lower odds. Younger patients with OSA reported worse subjective sleep quality than older patients, which may reflect differences in how people perceive or adapt to sleep disruption over time. This research suggests that how and why people eat — not just what they eat — may play a meaningful role in the severity of OSA and related metabolic problems. The findings are preliminary given the small sample size of 44 patients, and the authors describe this as a 'hypothesis-generating' pilot study. Nevertheless, they argue that behavioral approaches to eating, such as mindful eating practices and addressing emotional or reward-based eating, may deserve a place alongside traditional treatments in managing OSA and its metabolic complications.

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Citation

Lee L, Chao Y, Hu R, Lin W, Li H, Chuang L, et al.. (2026). Associations of Dietary Patterns and Physical Activity with Sleep Quality and Metabolic Health Markers in Patients with Obstructive Sleep Apnea: An Exploratory Pilot Study.. Nutrients. https://doi.org/10.3390/nu18030409