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. 2017 Nov 27;12(10):833–840. doi: 10.1080/15592294.2017.1366407

Table 1.

Distribution of select factors, by shift status, among female participants included in the analysis of shift work in association with genome-wide DNA methylation as measured in blood.

  Dayshiftn (%) Nightshiftn (%)
Agea,b    
 22–29 19 (22) 36 (33)
 30–36 20 (23) 27 (24)
 37–42 28 (33) 27 (24)
 43–48 19 (22) 21 (19)
Body Mass Index [(lbs/in2)×703]a,c
 17.9–21.5 27 (31) 23 (21)
 >21.5–23.4 22 (26) 27 (24)
 >23.4–25.5 17 (20) 32 (29)
 >25.5–29.4 20 (23) 29 (26)
Race    
 White 72 (84) 81 (73)
 Other 14 (16) 30 (27)
Smoking    
 No 80 (93) 104 (94)
 Yes 6 ( 7 ) 7 ( 6 )
Alcohol    
 No 58 (67) 103 (93)
 Yes 28 (33) 8 ( 7 )
Months engaged in current shift schedule (months)d
  6-<12 13 (15) 21 (19)
  12-<24 26 (30) 33 (30)
  24-<54 21 (25) 34 (31)
  ≥ 54 26 (30) 23 (20)
Proportion of blood cell types (means)
 B-cells 0.04 0.05
 CD8 T-cells 0.10 0.10
 CD4 T-cells 0.13 0.14
 Natural Killer cells 0.04 0.04
 Granulocytes 0.62 0.65
 Monocytes 0.10 0.11
a

Age and BMI categories based on quartiles among all 197 participants included in shift work analysis.

b

Mean (Standard Deviation) for Age: Dayshift = 35.9 (7.0); Nightshift = 34.4 (7.4).

c

Mean (Standard Deviation) for Body Mass Index: Dayshift = 23.0 (2.6) ; Nightshift = 23.8 (2.7).

d

Mean (Standard Deviation) for Months engaged in current shift schedule: Dayshift = 46.4 (47.9); Nightshift = 36.8 (36.1).