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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Ann Behav Med. 2017 Jun;51(3):402–415. doi: 10.1007/s12160-016-9864-y

Table 1.

Percentage or mean (SD) for participant characteristics in IT and extended care employees

Participant characteristic IT employees
(N = 131, Ndays = 869)
Extended care
employees
(N = 181, Ndays = 1061)
p
Age 45.14 (6.32) 38.64 (6.37) <0.001
Female 45% 97% <0.001
Race <0.001
  White 70.2% 63.5%
  Black or African American 1.5% 13.3%
  Asian Indian 9.9% 0.5%
  Other Asian/Pacific Islander 8.4% 3.3%
  Hispanic 9.2% 14.4%
  Other race or >1 race 0.8% 5.0%
Highest level of education <0.001
  Some high school 0% 6%
  High school graduate 2% 30%
  Some college or technical school 20% 54%
  College graduate 78% 10%
Hours worked per week 45.89 (5.86) 36.69 (8.10) <0.001
Married or cohabitating (vs. single) 87% 66% <0.001
Number of children at home 2.11 (1.07) 2.27 (1.11) 0.19
Daily experiences
  Positive affect (range: 1–5) 2.88 (0.68) 2.88 (0.65) 0.97
  Negative affect (range: 1–5) 1.27 (0.25) 1.39 (0.33) <0.001
  Positive work event, % of days 24% (27%) 27% (32%) 0.41
  Positive non-work event, % of days 29% (27%) 33% (31%) 0.28
  Work stressor, % of days 44% (30%) 43% (35%) 0.84
  Non-work stressor, % of days 40% (29%) 36% (27%) 0.20
Sleep variables
  Sleep quality (range: 1–4) 3.03 (0.41) 2.97 (0.54) 0.25
  Sleep duration, hours 6.70 (0.87) 6.49 (1.05) 0.06
  Insomnia symptoms (range: 2–8) 5.41 (1.51) 5.72 (1.65) 0.09
Daily interviews completed 7.71 (0.93) 7.13 (1.62) <0.001

Note. P-values for differences between IT and extended care employees were obtained from t-tests for continuous variables and chi-squared tests for categorical variables.