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. 2014 May;15(5):536–540. doi: 10.1016/j.sleep.2014.01.005

Table 1.

Percentage of participants reporting shorter sleep by family characteristics and logistic regression models predicting shorter night-time sleep.

Risk factors Shorter sleep Model 1 Model 2
(<11 h) (Simple logistic regression) (Multiple logistic regression)
n (%) OR (95% CI) OR (95% CI)
Total (n = 1702) 240 (14.1)



Maternal education
 High (n = 964) 108 (11.2) 1.00 1.00
 Low (n = 735) 132 (17.9) 1.64 (1.23–2.17)⁎⁎ 1.46 (1.07–1.99)



Ethnicity
 White (n = 1615) 200 (12.4) 1.00 1.00
 Non-white (n = 87) 40 (46.0) 5.10 (3.16–8.24)⁎⁎ 5.05 (3.08–8.27)⁎⁎



Sex
 Female (n = 874) 104 (11.9) 1.00 1.00
 Male (n = 828) 136 (16.4) 1.45 (1.08–1.92) 1.61 (1.19–2.17)



Birth weight (g)
 >2500 (n = 858) 105 (12.2) 1.00 1.00
 ⩽2500 (n = 844) 135 (16.0) 1.43 (1.07–1.90) 1.45 (1.07–1.96)



Older children
 0 (n = 889) 121 (13.6) 1.00 1.00
 1 (n = 563) 66 (11.7) 0.84 (0.61–1.17) 0.83 (0.58–1.17)
 >1 (n = 250) 53 (21.2) 1.70 (1.17–2.47) 1.58 (1.06–2.35)



Morning TV (h)
 ⩽1 (n = 1176) 141 (12.0) 1.00 1.00
 >1 (n = 526) 99 (18.8) 1.47 (1.10–1.96) 1.13 (0.80–1.58)



Evening TV (h)
 ⩽1 (n = 1489) 183 (12.3) 1.00 1.00
 >1 (n = 213) 57 (26.8) 2.22 (1.55–3.18)⁎⁎ 1.89 (1.26–2.84)



Mediators
 Wake time (per hour) 0.22 (0.17–0.29)⁎⁎
 Bedtime (per hour) 6.04 (4.72–7.72)⁎⁎

Abbreviations: OR, odds ratio; CI, confidence interval.

Model 2 is a multiple logistic regression model containing all risk factors predicting shorter sleep. All models adjusted for age, daytime sleep and regular night waking.

p < 0.05.

⁎⁎

p ⩽ 0.001.