Prevalence and correlates of comorbid obstructive sleep apnea and restless legs syndrome in a population-based study from Benin, West Africa
Wachinou, A. P.; Soumaho, A.; Djegbeton, E. A.; Kone, A.; Loko, H.; Fotso, P. M.; Segoun, S.; Moussoro, D.; Gnonlonfoun, D.; Heinzer, R.; Agodokpessi, G.
Show abstract
Purpose: Comorbid restless legs syndrome (RLS) and obstructive sleep apnea (OSA) -(COROSA)- is poorly characterized in African populations. We estimated its prevalence and correlates in a population-based sample in Benin. Methods: This was a cross-sectional analysis of 1,810 adults aged [≥]25 years from the Benin Society and Sleep (BeSAS) study. RLS was defined by International RLS Study Group criteria and OSA by an apnea-hypopnea index [≥]5 events/h on home respiratory polygraphy; COROSA required both. Correlates were assessed by multivariable logistic regression; multinomial models compared COROSA with OSA only, RLS only, and neither disorder. An exploratory analysis examined hypertension across eight mutually exclusive sleep-disorder groups, including comorbid insomnia, RLS and OSA (COMIROSA). Results: COROSA prevalence was 3.5% (95% CI 2.7-4.4). Independent correlates were age 40-59 years (aOR 2.91, 95% CI 1.38-6.73), age [≥]60 years (aOR 3.76, 1.61-9.35), rural residence (aOR 10.54, 4.94-25.43), overweight (aOR 2.29, 95% CI: 1.16-4.49), obesity (aOR 3.83, 95% CI: 1.75-8.31), and insomnia (aOR 2.49, 1.37-4.50). Relative to OSA only, COROSA was associated with hypertension and insomnia; relative to RLS only, obesity was the main distinguishing factor. Hypertension was associated with COROSA and COMIROSA, with a larger estimate for COMIROSA (aOR 4.03 vs 2.64). Conclusion: COROSA affected 3.5% of adults in Benin and co-occurred with obesity, hypertension and insomnia. Screening for overlapping sleep disorders may improve identification of high-risk individuals. COMIROSA remains a hypothesis requiring validation in larger longitudinal studies.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A single nucleotide polymorphism in the HOMER1 gene is associated with sleep latency and theta power in sleep electroencephalogram 94%
- Creation of a Shortened Version of the of the Sleep Disorders Questionnaire (SDQ) 94%
- Home-EEG assessment of possible compensatory mechanisms for sleep disruption in highly irregular shift workers - The ANCHOR study 93%
Similar papers in this journal
- Subjective sleep onset latency is influenced by sleep structure and body heat loss in human subjects 93%
- Looking for a reference for large datasets: relative reliability of visual and automatic sleep scoring 93%
- Sleeping under the waves: a longitudinal study across the contagion peaks of COVID-19 pandemic in Italy 93%
Similar papers in this journal
- Is sleep apnea-hypopnea index relevant for impaired brain perfusion and desaturation in patients with severe obstructive sleep apnea syndromes? 94%
- Satisfaction with Life in relation to Sleep Health among a Nationally Representative Sample of U.S. Adults 93%
- The relationship between subjective sleep quality and cognitive performance in healthy young adults: Evidence from three empirical studies 93%
Similar papers in this journal
- Bidirectional relationship between sleep problems and long COVID: a longitudinal analysis of data from the COVIDENCE UK study 90%
- Patient symptoms and experience following COVID-19: results from a UK wide survey 88%
- The physiological demands of Singing for Lung Health compared to treadmill walking 87%
Similar papers in this journal
- Religiosity and Spirituality as Stressors or Stress Relievers in relation to Sleep Health among African American Women 93%
- Evaluation of Dreem headband for sleep staging and EEG spectral analysis in people living with Alzheimer’s and older adults 93%
- Changes of evening exposure to electronic devices during the COVID-19 lockdown affect the time course of sleep disturbances 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.