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. Author manuscript; available in PMC: 2022 Oct 21.
Published in final edited form as: Int J Obes (Lond). 2022 May 12;46(8):1502–1509. doi: 10.1038/s41366-022-01140-0

Table 4.

Multiple Linear Regression Models – Sleep Duration and SRI as Explanatory Variables

BMI Z-score Waist circumference WHtR
Variable Beta p Beta p Beta p
Black .013 .891 −.007 .928 −.048 .586
Other −.015 .851 −.061 .349 .018 .806
Child sex .092 .230 −.001 .989 −.012 .865
Middle age child .131 .146 .385*** .000 .099 .246
Old age child −.114 .210 .500*** .000 −.008 .930
Mother BMI .106 .219 .059 .402 .106 .192
Spring −.188 .054 −.282** .001 −.298** .001
Summer −.055 .577 −.090 .265 −.044 .633
Fall −.278** .006 −.219** .008 −.273** .005
aSRI −.138 .114 −.109 .115 −.156 .077
aSleep Duration −.318*** .000 −.328*** .000 −.418*** .000

Note:

*

p < .05,

**

p < .01,

***

p < .001.

Betas are standardized betas. WHtR = waist-to-height ratio; SRI = Sleep Regularity Index

a

Multiple testing was controlled for using the Benjamini-Hochberg Procodure