Table 2.
Sleep Characteristics by Gender and Employment Category or Life Course Stage; 18- to 64-Year-Old ATUS 2003 to 2007 Respondents
| Sleep Minutes | Percent Interrupted Sleep for Caregiving |
Percent Napped | Percent Bedtime past Midnight | |||||
|---|---|---|---|---|---|---|---|---|
| Men | Women | Men | Women | Men | Women | Men | Women | |
| Employment Category | ||||||||
| Did Not Work, Is Not in Labor Force | 548.0 | 531.2 | .4 | 4.3 | 17.0 | 14.2 | 26.7 | 20.1 |
| (128.2) | (119.1) | |||||||
| Did Not Work, Is Employed | 558.6 | 552.9 | .7b | 3.3 | 12.7 | 14.9b | 24.1b | 21.5b |
| (119.0) | (114.1) | |||||||
| Worked < 8 Hours | 502.6 | 496.0 | .8 | 2.4 | 11.2 | 10.5a | 25.1b | 19.7b |
| (117.1) | (105.8) | |||||||
| Worked 8+ Hours | 442.9 | 450.4 | .5b | 1.2 | 4.5 | 4.6a | 18.8 | 17.8a |
| (99.0) | (93.7) | |||||||
| Life Course Stage | ||||||||
| Young Single Childless | 521.3 | 526.9a | .1 | .2a | 10.2 | 12.2a | 37.1 | 34.6a |
| (136.9) | (125.4) | |||||||
| Young Partnered Childless | 494.2 | 522.2b | .0b | .5b | 6.2 | 10.3b | 23.4 | 20.6a |
| (119.0) | (113.0) | |||||||
| Partnered Younger Children | 486.8 | 513.4 | 2.9 | 12.2 | 6.9 | 10.9b | 18.2 | 16.1 |
| (118.7) | (108.0) | |||||||
| Partnered Older Children | 482.2 | 495.1 | .3b | 1.4 | 8.1 | 8.6a | 15.7 | 14.5a |
| (112.2) | (106.3) | |||||||
| Single Parent | 500.3 | 521.0 | .5 | 3.7 | 8.9b | 14.0b | 21.7 | 20.3a |
| (125.0) | (131.3) | |||||||
| Older Partnered Childless | 484.7 | 495.7 | .2b | .8 | 10.0b | 10.1a | 14.7 | 16.5a |
| (111.1) | (104.7) | |||||||
| Older Single Childless | 505.0 | 500.2a | .1b | .3b | 13.8 | 12.6a,b | 22.4 | 20.1 |
| (127.8) | (128.0) | |||||||
Gender difference is not statistically significant, based on linear or logistic regression models for each employment or life course stage category with female as sole predictor.
Within-gender difference between omitted employment (did not work, is not in the labor force) or life course stage (young, single, childless) and focal category is not statistically significant, based on linear or logistic regression models with categories of employment or life cycle stage as sole predictors.