Skip to main content
Fig. 1 | Sleep Science and Practice

Fig. 1

From: Association between cardiometabolic health and objectively-measured, free-living sleep parameters: a pilot study in a rural African setting

Fig. 1

Cardiometabolic risk categories across quantiles of accelerometry-derived sleep-quantity and -quality measures. a-c Binary risk categories for the JIS Harmonised Definition. Nocturnal sleep time (minutes) and Total sleep time (minutes), * OR 0.20 (0.05, 0.71); b Sleep efficiency (percentage) and Wake after sleep onset (minutes); c Sleep fragmentation index (%) and Activity counts during sleep (counts), OR 69.80 (8.44, 577.63). Fully-adjusted binary logistic regression models (socio-demographic, behavioural, biological), excluding body composition measures (see Additional file 1). d-f Tertiles of HOMA-IR. d Nocturnal sleep time (minutes) and Total sleep time (minutes), OR 2.84 (1.03, 7.83); e Sleep efficiency (percentage) and Wake after sleep onset (minutes), § OR 0.15 (0.05, 0.45), OR 3.17 (1.21, 8.32), # OR 6.75 (2.54, 17.91); f Sleep fragmentation index (%) and Activity counts during sleep (counts), ** OR 4.67 (1.64, 13.30), †† OR 10.91 (3.11, 38.33), ‡‡ OR 3.01 (1.19, 7.64). Fully-adjusted ordinal logistic regression models (socio-demographic, behavioural, biological), including body composition measures (Conicity Index) (see Additional file 1). The horizontal lines between the sleep parameter tertiles (Q1-Q3) and vertical lines between the HOMA-IR tertiles (HOMA-IR Q1/Q2/Q3) indicate significant post hoc differences between tertiles at either end of the line. Cut-points for sleep parameter quantiles (Q1/Q2/Q3) are presented in Table S1 (see Additional file 3)

Back to article page