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1.
Sleep ; 2024 Jun 21.
Article in English | MEDLINE | ID: mdl-38902934

ABSTRACT

STUDY OBJECTIVES: To investigate the engagement and health outcomes of community-based intervention for obstructive sleep apnea (OSA) in the general population. METHODS: We conducted a 3-month randomized controlled trial in two communities in southern China. We initially screened the general population for high-risk OSA and further diagnosis using home sleep testing. Eligible participants were randomly (1:1) assigned to either a control or continuous positive airway pressure-based integrated intervention group. The primary outcomes were multimodal indicators reflecting health outcomes, including health-related quality of life (Short Form-36 [SF-36]), sleep-related symptoms, and cardiometabolic risk. RESULTS: Of the 2,484 participants screened, 1,423 identified as having high-risk OSA were considered for telephone invitations to participate in the trial. Of these, 401 participants responded positively (28.2%), 279 were diagnosed with OSA, and 212 were randomized. The intervention significantly improved several domains of SF-36, including physical functioning (intergroup difference, 2.8; P=0.003), vitality (2.3; P=0.031), and reported health transition (6.8; P=0.005). Sleep-related symptoms, including Epworth Sleepiness Scale (-0.7; P=0.017), Fatigue Severity Scale (-3.0; P=0.022), Insomnia Severity Index (-1.8; P<0.001), and Pittsburgh Sleep Quality Index (-0.7; P=0.032), also showed significant improvements. Although the intervention did not significantly alter glycolipid metabolism, ventricular function, or cardiac structural remodeling, it achieved a significant reduction in systolic (-4.5 mmHg; P=0.004) and diastolic blood pressure (-3.7 mmHg; P<0.001). CONCLUSIONS: Community-based intervention for previously undiagnosed OSA in the general population yielded improvements in health-related quality of life, sleep-related symptoms, and blood pressure. However, engagement in the intervention program was low.

2.
Nat Sci Sleep ; 14: 1397-1406, 2022.
Article in English | MEDLINE | ID: mdl-35979084

ABSTRACT

Purpose: Non-sleepy sleep-disordered breathing (SDB) is increasingly recognized as an important clinical subtype. The association between non-sleepy SDB and cardiovascular disease (CVD) is not well understood. Our objectives were to investigate the relationship between non-sleepy SDB and CVD and determine which nocturnal hypoxia parameter most strongly reflects this association in a large community population. Patients and Methods: Cross-sectional data from 3626 randomly-selected Chinese community-dwelling participants who underwent overnight type IV sleep monitoring were analyzed. Parameters of nocturnal hypoxemia were extracted from sleep monitoring devices, including mean nocturnal oxygen saturation, lowest oxygen saturation, oxygen desaturation index (ODI), and time with oxygen saturation <90%. An ODI ≥7.0 events/h was considered to signify SDB. An Epworth Sleepiness Scale score of 10 or less indicated no sleepiness. Results: The SDB rate was 30.7% (1114/3626), of which 96.5% (1075/1114) were considered the non-sleepy SDB subtype. ODI, typical nocturnal intermittent hypoxia indicator for SDB, was independently related to CVD, regardless of whether excessive daytime sleepiness was present. After adjusting for confounders, ODI most strongly reflected the association between non-sleepy SDB and CVD (OR:1.023; 95% CI:1.003-1.043). We observed a nonlinear association between ODI and the prevalence of CVD, where the likelihood of CVD increased with ODI≥10 events/h and a markedly increasing trend was observed with ODI ≥20 events/h (reference ODI = 7.0 events/h). Metabolic parameters, Pittsburgh Sleep Quality Index, and inflammatory marker did not mediate the association between ODI and CVD in the non-sleepy SDB subtype. Conclusion: In the Chinese community-dwelling population, non-sleepy SDB was highly prevalent. ODI, an easily extracted indicator from a type IV sleep monitor, most strongly reflected the association between non-sleepy SDB and CVD.

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