Sentence examples for sleeping odds from inspiring English sources

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After adjusting for covariates, trouble sleeping (odds ratio 1.21 [95% CI 1.03 1.42]) and sleep apnea (1.78 [1.39–2.28]) were significantly and independently related to incident diabetes.

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19 Several longitudinal studies have also reported a reduced risk of overweight or obesity in children with greater sleep duration (relative risk 0.65-0.80) 15 19 or conversely a greater odds of being overweight with reduced sleep (odds ratio 1.5-2.0 1.5-2.0

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.

Those with the lowest income had higher odds of sleeping for 9 hours and ≥10 hours as compared to those with high income, although the effect size was largely reduced in Model 3. As with income, the associations between employment status and short sleep reduced after simultaneous adjustments for sociodemographic and socioeconomic factors (Table  4, Model 3).

After additionally adjusting for socioeconomic circumstances (Tables 3 and 4, Model 3), associations between marital status and long sleep were reduced, but the divorced and separated participants continued to have higher odds of sleeping for < 5 hours and 6 hours, singles 6 hours and ≥10 hours and widowed 5 hours.

Consider: If you're a New Guinean living in the forest, and if you adopt the bad habit of sleeping under dead trees whose odds of falling on you that particular night are only 1 in 1,000, you'll be dead within a few years.

However, this is due to opposite behaviors of the slow and fast rhythms: i) SEEG power in the very low frequencies remains high during REM sleep in the hippocampus; ii) the unexpected decrease of beta power during REM sleep gives rise to a relative preponderance of beta during NREM sleep, at odds with the typical decrease of NREM beta power seen in the scalp recordings.

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