Table 3.
Variable | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
1. Sleep health | ||||||
2. Man vs woman or nonbinary/trans | 0.021 | |||||
3. Age | 0.188* | 0.032** | ||||
4. Country income classification | 0.123** | 0.033** | 0.079** | |||
5. Partnered vs not partnered | 0.134** | 0.027** | 0.312** | 0.041** | ||
6. Active vs not active employment | −0.016 | 0.012 | −0.251** | −0.055* | −0.046** | |
7. Dependent <18 years in home vs not | −0.005 | −0.031** | −0.067** | −0.093** | 0.300* | 0.069** |
Because correlations and linear regressions require variables to be continuous or dichotomous, women and the small group of nonbinary/trans individuals were combined in order to compare the connections between the primary study variables and these 2 gender groups relative to men.
P < .05.
P < .01.