Sentence examples for odds of sleep from inspiring English sources

Overweight or obese pregnant women have increased odds of sleep disorders, particularly OSA.

In general, as pre-pregnancy BMI increased, the odds of sleep disorders increased.

Overall, we found that pregnant women who are overweight and obese have increased odds of sleep disorders.

Use of PC, cell phone, Mp3-player, game console and TV in the hour before going to sleep were all associated with increased odds of sleep deficiency.

We modeled the odds of sleep disturbance for the following categories: sleep efficiency <70% compared with ≥ 70%; sleep latency ≥ 60 minutes compared with <60 minutes and; WASO ≥ 90 minutes compared with <90 minutes; number of long-wake episodes ≥ 8 compared with <8; and napping ≥ 2 hours compared with <2 hours.

21 Baseline continuous MOS SPI values and odds of sleep disturbance across quartiles of BMI, rMSSD and VO2peak are shown in table 2. Sleep quality significantly differed among quartiles of rMSSD (F3,343=2.55, p=0.05), with the lowest quartile of rMSSD having significantly worse baseline sleep quality than the other quartiles of rMSSD.

The odds of sleeping problems for winter attendees was about 80% higher than for summer attendees (Logistic regression: OR=1.86, p<0.001, 95% CI=1.52-2.29).

However, unemployment remained associated with 5 hour sleep, and both the unemployed and those retired due to disability or old age had higher odds of sleeping for 9 hours or ≥10 hours.

Additionally, disability retirees had higher odds of sleeping for <5 hours (OR 2.02, 95% CI 1.16 3.51) and 5 hours (OR 2.54, 95% CI 1.32 4.88) as compared to employed participants.

First, those with intermediate parental education had higher odds of sleeping for 5 hours (OR 5.27, 95% CI 1.20 23.20) as compared to those whose parents' had had high education (Table  4, Model 1).

Participants living in densely populated municipalities (OR 1.47, 95% CI 1.02 2.12) or rural municipalities (OR 1.64, 95% CI 1.09 2.47) had, in turn, higher odds of sleeping for ≥10 hours as compared to participants from urban towns.