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. 2021 Jan 26;7(2):134–142. doi: 10.1016/j.sleh.2020.12.008

Table 3.

Correlation matrix among demographic variables and sleep health

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.