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. 2019 Dec 18;9:19333. doi: 10.1038/s41598-019-55114-w

Table 2.

Generalised estimating equation models for effects of shift day, interdaily stability and BMI on lapses in attention of alternating shift workers.

Variable (n) D1 D2 D3 D4 D6 D7
M (SE) M (SE) M (SE) M (SE) M (SE) M (SE)
IS*
Less synchronised (13) 0.46 (0.10)a 2.04 (0.65)a.b 2.47 (0.60)a,c 1.98 (0.37)b,c 1.94 (0.60)a,b,c 2.60 (0.54)b,c
More synchronised (12) 0.67 (0.09)a 1.66 (0.31)b 1.60 (0.27)b 1.44 (0.39)a,b,c 1.82 (0.42)a,b,c 2.77 (0.43)c
BMI*
Eutrophic (5) 0.18 (0.05) 0.74 (0.21)a 1.24 (0.15)a 2.46 (0.33)b 1.26 (0.30)b 3.00 (0.35)b
Overweight (16) 1.81 (0.50) 1.58 (0.51) 1.40 (0.47) 0.92 (0.39) 1.66 (0.53) 2.26 (0.61)
Obese (9) 0.54 (0.00)β 5.32 (1.84) 4.55 (1.22) 2.11 (0.47) 3.17 (1.32) 2.85 (0.73)

Note: Data are expressed as mean (standard error, SE). IS, interdaily stability; BMI, body mass index; D, day. *P < 0.01, calculated by generalised estimating equation test. Model 1: dependent variable: lapses of attention; independent variables: day of shift work, BMI and IS. The isolated effects of the independent variables and the interactions between them were tested in the model. Adjusted for age, period of shift work and children at home. The values in a line with different superscripts are significantly different, P < 0.05. a, b, c and d, intragroup differences; β, diferences between groups.