Table 2.
Family | Family Member | Age | Gender | Marital Status | Occupation |
---|---|---|---|---|---|
F1 | Father | 51–60 | Male | Married | registered nurse |
Mother | 41–50 | Female | physical therapist assistant | ||
2 Children | 11, 14** | ||||
F2 | Father | 31–40 | Male | Married | game-data analyst |
Mother | 31–40 | Female | naturopathic physician | ||
2 Children* | 8 | ||||
F3 | Father | 31–40 | Male | Married | CEO of tech company |
Mother | 31–40 | Female | teacher | ||
2 Children | 7, 10 | ||||
F4 | Father | 41–50 | Male | Married | Boeing, assembly |
Mother | 41–50 | Female | stay-at-home mom | ||
Child | 10 | ||||
F5 | Father | 31–40 | Male | Married | banking |
Mother | 31–40 | Female | research consultant | ||
2 Children | 7, 10 | ||||
F6 | Father | 41–50 | Male | Married | engineer |
Mother | 41–50 | Female | stay-at-home mom | ||
2 Children* | 7 | ||||
F7 | Father | 51–60 | Male | Married | engineering manager |
Mother | N/A | Female | N/A | ||
Child | 13*** | ||||
F8 | Father | 41–50 | Male | Married | real-estate broker |
Mother | 41–50 | Female | office manager bookkeeper | ||
3 Children | 8, 10, 12 | ||||
F9 | Father | 41–50 | Male | Married | heavy-equipment operator |
Mother | 31–40 | Female | elementary instructional coach | ||
4 Children* | 7, 11, 12 | ||||
F10 | Father | 41–50 | Male | Married | firefighter, RN |
Mother | 41–50 | Female | RN | ||
3 Children* | 10, 13 |
One child did not participate because he/she was younger than seven years of age.
We recruited based on the age of the child who parents self-reported to have poor sleep quality. The second child was older than 12, but we did not want to exclude her from the study.
F7 Child turned 13 right after the family started the study.